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It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    eEvent Filter Farm PoolEFF composed out of up to 2000 Boxes grouped into 50 subfarms (50 racks) up to 40 boxes/subfarm 8 cores/boxes * 1 HLT algorithm running/coreD%i %h,5.?Each sub-farm has its own control PC And its own control system&%% Experiment Control SystemLarge amount of software processes + very different hardware devices Distributed hierarchical integration ECS is in charge of the configuration, operation and supervision of all the online components in LHCb. See talk CMS1-1 Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. DIM: Distributed Information Management System, communication mechanism.E0Z%0!Zg0Z:0Z=0ZI0ZE%g*=IHLT Tasks controlAlgorithms are integrated as hardware devices. Behavior modeled with well defined states. Common state diagram for all algorithms. Gaudi transitions are mapped to FSM transitions. `ZZ)Z2ZZ)2 Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Status Counters Receives commandsB8 B8 Sub-Farm Controls UI  PartitioningDifferent sub-detectors, many teams and possible configurations (operation modes) (commissioning stage). Possibility to run hierarchies in parallel. Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Dynamic allocation i ( (2 ( ( (i2    @>  Farm pool controls Due to the hierarchical ECS main control and dynamic allocation Easy to include new farms into global system Due to single sub-farm controls as framework package and base on naming convention Easy to duplicate farm control system. A-S'?-S' ConclusionsThe LHCb experiment at CERN will have an Event Filter Farm (EFF) composed of 2000 CPUs. These machines will form a pool of 50 sub-farms with 30 to 40 nodes each, running a large amount of High Level Trigger (HLT) tasks in parallel. Although these tasks are identical algorithms, they can run at the same time being configured with different parameters, such as run type (Physics, Cosmics, Test, etc), HLT rate or with different subdetectors (partitions). The HLT is the second of the two trigger levels in LHCb. Its selection algorithms reduce the incoming data rate of 1 MHz to an output rate of 2 kHz. 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S L 6$ _P  $ P*   L 6$ _  $ R*  H L 0޽h ? 3380___PPT10.0  4(  r  S \80p  r  S `]8 @    0` 0 @ p  6Alba Sambade Varela On behalf of the LHCb Online group"7# ,H  0޽h ? 33___PPT10i.~@+D=' = @B += 0 TL@ (  p  HFXͤf&A?rkx  c $,M      Bh   " BReadout system H  0޽h ? 33___PPT10i.3PcQ+D=' = @B +} 0 h$(  hr h S Ԏ,M    r h S  , `   H h 0޽h ? 33___PPT10i.++D=' = @B +Q 0 h`@$7T(  T" -T Nh'jJ"`  (r T S ',MH   r T S ),!`o1  " T B*jJ"`6   V DataWriter    T  fG)Hu'I@1?"0@NNN?N 770  T T1?"0@NNN?NsCC2 T B0p?"6@`NNN?Ns AReadout network" T B3jJ"`8 @Event Building T  fG)Hu'I@1?"0@NNN?NC T T1?"0@NNN?N 7B  T B8p?"6@`NNN?N f  9Storaged T <ZF`  T 3 rZ< p?"6@`NNN?ND-  9Trigger d T <Z+`   T 3 rZP@ p?"6@`NNN?N+-  9Trigger d !T <ZE`  "T 3 rZD p?"6@`NNN?NE-  9Trigger d #T <Z,`  $T 3 rZPC p?"6@`NNN?N*-  9Trigger d %T <Z`  &T 3 rZL p?"6@`NNN?N-  9Trigger d 'T <Zc`  (T 3 rZP p?"6@`NNN?Na-  9Trigger d )T <Za`  *T 3 rZN p?"6@`NNN?Na-  9Trigger d +T <Z`  ,T 3 rZX p?"6@`NNN?N -  9Trigger  /T@  fG)Hu'I@1?"0@NNN?NC 0T  fG)Hu'I@1?"0@NNN?NC 1T@  fG)Hu'I@1?"0@NNN?NIC 2T  fG)Hu'I@1?"0@NNN?NC 3T  fG)Hu'I@1?"0@NNN?NC* 4T B ]p?"6@`NNN?Nm > Event flow   6T@  fG)Hu'I@1?"0@NNN?NC 7T@  fG)Hu'I@1?"0@NNN?NfCH T 0޽h ?`T-TTTTTTTTTTT TT/T T!T0T T+T1T T'T2T T)T3TT%T6TT#T7T 33___PPT10i.]L+D=' = @B +O) 0 f(^(PRb '(  r  S L,U    ] <|  ,  4x 50R%8 pB _ ,Ov$@ ppB \ppBr T B]+(GN2"`k jBt R 6"`p r P BGO"`p f  6N  T    #   `  0 `2  0   <X*  A HLT algorithmP T    #   `   0 `2   0    <  A HLT algorithmP T   #   `  0 `2  0   <ȴ  A HLT algorithmP T   #   `  0 `2  0   <0  A HLT algorithmP f  6 4E T   #   `  0 `2  0   <  A HLT algorithmP T   #   `  0 `2  0   <  A HLT algorithmP T    #   ` ! 0 `2 " 0  # <  A HLT algorithmP T   $#   ` % 0 `2 & 0  ' <  A HLT algorithmP f ( 6R  T   )# a, aH ` * 0 `2 + 0  , <  A HLT algorithmP T   -# aR ao ` . 0 `2 / 0  0 <X  A HLT algorithmP T   1# pR po ` 2 0 `2 3 0  4 <  A HLT algorithmP T   5# p, pH ` 6 0 `2 7 0  8 <L  A HLT algorithmP f 9 6 CA T   :#   ` ; 0 `2 < 0  = <  A HLT algorithmP T   >#   ` ? 0 `2 @ 0  A <H  A HLT algorithmP T   B# % % ` C 0 `2 D 0  E <  A HLT algorithmP T   F# % % ` G 0 `2 H 0  I <  A HLT algorithmP  J H%4K Q  B & x 40(z K <1"`4K p r N HGO1"`p4  ^ 6JS"`?P  x a c $0,M     b <( b F * Nowadays   H  0޽h ? 33___PPT10i.3Б$+D=' = @B +$ 0 ##!;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitowerO  B d vEF$QVUVW ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower# B d vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower  \ B  d vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower_  B  d vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower l B  d vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitowero    d Bж1?"0@NNN?N RO   d Bж1?"0@NNN?N R  d Bж1?"0@NNN?N R_  d TжG0*H3I{1?"0@NNN?N R  d Bж1?"0@NNN?N R!o B d vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower_  B d vEF$QVUVW ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower# B d vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower l B d vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitowero  B d vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower | B d vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower  d Bж1?"0@NNN?N _  d Bж1?"0@NNN?N   d Bж1?"0@NNN?N o  d TжG0*H3I{1?"0@NNN?N   d Bж1?"0@NNN?N  B d vEF$QVUVW ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitowerFFq d  `Ȣж?"0@NNN?N1  F& (( }$ d Bж1?"0@NNN?Nq# d Bж1?"0@NNN?Nq#j d BvYA?< 5d <| P  GControl PC per sub-farmr2 :d <jJ"`;ql2 FA1s"( / 00DArialNew RomanLL Ԗׯ0Ԗ"DWingdingsRomanLL Ԗׯ0Ԗ DMonotype SortsLL Ԗׯ0Ԗ$0DTimes New RomanLL Ԗׯ0Ԗ@ .  Oh+'0 hp    (4<4Controlling a large CPU farm using industrial tools asambade asambade112Microsoft Office PowerPoint@G@@~@CXgTGhg  ,V'&" WMFCD <8  Farm pool controls Due to the hierarchical ECS main control and dynamic allocation Easy to include new farms into global system Due to single sub-farm controls as framework package and base on naming convention Easy to duplicate farm control system. A-S'?-S' ConclusionsThe LHCb experiment at CERN will have an Event Filter Farm (EFF) composed of 2000 CPUs. These machines will form a pool of 50 sub-farms with 30 to 40 nodes each, running a large amount of High Level Trigger (HLT) tasks in parallel. Although these tasks are identical algorithms, they can run at the same time being configured with different parameters, such as run type (Physics, Cosmics, Test, etc), HLT rate or with different subdetectors (partitions). The HLT is the second of the two trigger levels in LHCb. Its selection algorithms reduce the incoming data rate of 1 MHz to an output rate of 2 kHz. Selected events are sent for mass storage and subsequent offline reconstruction and analysis. These trigger processes running online are based on the same software framework as the algorithms for offline analysis (Gaudi). The control of the trigger farm was developed with an industrial SCADA system (PVSS) which is used throughout the Experiment Control System (ECS). The HLT algorithms are handled by the ECS like hardwa  !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~JRoot EntrydO)_QXgPictures_ Current User8SummaryInformation(ܭ      !"#$%&'(*+,-./012345678IKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}PowerPoint Document(0 DocumentSummaryInformation8@n?" dd@  @@`` LDh\t   ! 9 =b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  3f3@8   ʚ;8ʚ;g4MdMd ׯ0hppp@ <4ddddvS0L`  0___PPT10 fqfq___PPT9 F( ( 2 ? -O  = 3Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  HLT CPU FarmEFF composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/boxes * 1 HLT algorithm running/coreZ/L  /L,?. Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    e?Each sub-farm has its own control PC And its own control system&%% Experiment Control SystemLarge amount of software processes + very different hardware devices Distributed hierarchical integration ECS is in charge of the configuration, operation and supervision of all the online components in LHCb. See talk CMS1-1 Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. DIM: Distributed Information Management System, communication mechanism.E0Z%0!Zg0Z:0Z=0ZI0ZE%g*=IHLT Tasks controlAlgorithms are integrated as hardware devices. Behavior modeled with well defined states. Common state diagram for all algorithms. Gaudi transitions are mapped to FSM transitions. `ZZ)Z2ZZ)2 Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Status Counters Receives commandsB8 B8 Sub-Farm Controls UI  PartitioningDifferent sub-detectors, many teams and possible configurations (operation modes) (commissioning stage). Possibility to run hierarchies in parallel. Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Dynamic allocation i ( (2 ( ( (i2    @>  Farm pool controls Due to the hierarchical ECS main control and dynamic allocation Easy to include new farms into global system Due to single sub-farm controls as framework package and base on naming convention Easy to duplicate farm control system. A-S'?-S' ConclusionsThe LHCb experiment at CERN will have an Event Filter Farm (EFF) composed of 2000 CPUs. These machines will form a pool of 50 sub-farms with 30 to 40 nodes each, running a large amount of High Level Trigger (HLT) tasks in parallel. Although these tasks are identical algorithms, they can run at the same time being configured with different parameters, such as run type (Physics, Cosmics, Test, etc), HLT rate or with different subdetectors (partitions). The HLT is the second of the two trigger levels in LHCb. Its selection algorithms reduce the incoming data rate of 1 MHz to an output rate of 2 kHz. Selected events are sent for mass storage and subsequent offline reconstruction and analysis. These trigger processes running online are based on the same software framework as the algorithms for offline analysis (Gaudi). The control of the trigger farm was developed with an industrial SCADA system (PVSS) which is used throughout the Experiment Control System (ECS). The HLT algorithms are handled by the ECS like hardware devices, for instance, high voltage channels. The integration of the HLT controls in the overall ECS, which is modeled as finite state machines, will be presented. P Pt) B/T 0 @L(  p  HFXͤf&A?rkx  c $,M      Bh   " BReadout system l2   6Ԕ"`'Vx"  BԔ?"` %  l2  6>"` B  H  0޽h ? 33___PPT10i.3PcQ+D=' = @B +*A 0 A@9@Pq Y>(  r  S L,U     ] <|  G  4x 50R%8 pB _1 G v$@ ppB \ppBr T B]+(GN2"`k jBt R 6"`p r P BGO"`p f  6N  T    #   `  0 `2  0   <X*  A HLT algorithmP T    #   `   0 `2   0    <  A HLT algorithmP T   #   `  0 `2  0   <ȴ  A HLT algorithmP T   #   `  0 `2  0   <0  A HLT algorithmP f  6 4E T   #   `  0 `2  0   <  A HLT algorithmP T   #   `  0 `2  0   <  A HLT algorithmP T    #   ` ! 0 `2 " 0  # <  A HLT algorithmP T   $#   ` % 0 `2 & 0  ' <  A HLT algorithmP f ( 6R  T   )# a, aH ` * 0 `2 + 0  , <  A HLT algorithmP T   -# aR ao ` . 0 `2 / 0  0 <X  A HLT algorithmP T   1# pR po ` 2 0 `2 3 0  4 <  A HLT algorithmP T   5# p, pH ` 6 0 `2 7 0  8 <L  A HLT algorithmP f 9 6 CA T   :#   ` ; 0 `2 < 0  = <  A HLT algorithmP T   >#   ` ? 0 `2 @ 0  A <H  A HLT algorithmP T   B# % % ` C 0 `2 D 0  E <  A HLT algorithmP T   F# % % ` G 0 `2 H 0  I <  A HLT algorithmP  J H%4K Q  B & x 40(z K <1"`4K p r N HGO1"`p4  ^ 6JS"`?P  x a c $0,M    R h@ s *jJgR i s *jJgR j s *jJg k <\s*f" `g IReadout Network0 "  HhjJ"`y  (   fG)Hu'I@1?"0@NNN?Nh7^  6Z6*  # lZd p?"6@`NNN?NR* 5CPU ^  6Z6H  # lZd͠ p?"6@`NNN?NRF 5CPU ^  6Z6+  # lZh p?"6@`NNN?NR) 5CPU ^  6Z6  # lZT p?"6@`NNN?NR 5CPU ^  6Z6  # lZ p?"6@`NNN?NR 5CPU ^  6Z6b  # lZp9  p?"6@`NNN?NRb 5CPU ^  6Z6c  # lZ\  p?"6@`NNN?NRa 5CPU ^  6Z6  # lZ  p?"6@`NNN?NR 5CPU  @  fG)Hu'I@1?"0@NNN?Nh7   fG)Hu'I@1?"0@NNN?Nhe7 @  fG)Hu'I@1?"0@NNN?Nh7   fG)Hu'I@1?"0@NNN?Nh+7   fG)Hu'I@1?"0@NNN?Nh7 @  fG)Hu'I@1?"0@NNN?NhH7 @  fG)Hu'I@1?"0@NNN?Nh7  B Ơ1"` :Switch(2   B\ڠ1"`F :Switch(2   B1"`D :Switch(2 H  0޽h ?`khkikj  33___PPT10i.3Б$+D=' = @B +Q 0 h`@$8T(  T" -T Nh'jJ"`  (r T S                           ! " # $ % & ' ( ) * + , - . / 1 7 8 9 : ; < = > ? @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z [ \ ] ^ _ ` a b c d e f g h i j k l m n o p q r s t u v w x y z { | } ~  ',M   r T S ),q/  " T B*jJ"`6   V DataWriter    T  fG)Hu'I@1?"0@NNN?N 770  T T1?"0@NNN?NsCC2 T B0p?"6@`NNN?Ns AReadout network" T B3jJ"`8 @Event Building T  fG)Hu'I@1?"0@NNN?NC T T1?"0@NNN?N 7B  T B8p?"6@`NNN?N f  9Storaged T <ZF`  T 3 rZ< p?"6@`NNN?ND-  9Trigger d T <Z+`   T 3 rZP@ p?"6@`NNN?N+-  9Trigger d !T <ZE`  "T 3 rZD p?"6@`NNN?NE-  9Trigger d #T <Z,`  $T 3 rZPC p?"6@`NNN?N*-  9Trigger d %T <Z`  &T 3 rZL p?"6@`NNN?N-  9Trigger d 'T <Zc`  (T 3 rZP p?"6@`NNN?Na-  9Trigger d )T <Za`  *T 3 rZN p?"6@`NNN?Na-  9Trigger d +T <Z`  ,T 3 rZX p?"6@`NNN?N -  9Trigger  /T@  fG)Hu'I@1?"0@NNN?NC 0T  fG)Hu'I@1?"0@NNN?NC 1T@  fG)Hu'I@1?"0@NNN?NIC 2T  fG)Hu'I@1?"0@NNN?NC 3T  fG)Hu'I@1?"0@NNN?NC* 4T B ]p?"6@`NNN?Nm > Event flow   6T@  fG)Hu'I@1?"0@NNN?NC 7T@  fG)Hu'I@1?"0@NNN?NfCH T 0޽h ?`T-TTTTTTTTTTT TT/T T!T0T T+T1T T'T2T T)T3TT%T6TT#T7T 33___PPT10i.]L+D=' = @B +r?B gid B1s"( / 00DArialNew RomanLL Ԗׯ0Ԗ"DWingdingsR ՜.+,0    On-screen ShowCERN ' Arial WingdingsMonotype SortsTimes New Roman1_Default DesignDefault Design4Controlling a large CPU farm using industrial toolsECS and data flow in )re devices, for instance, high voltage channels. The integration of the HLT controls in the overall ECS, which is modeled as finite state machines, will be presented. P Pt) B/Tr: 1!( / 00DArialNew RomanLL Ԗׯ0Ԗ"DWingdingsRomanLL Ԗׯ0Ԗ DMonotype SortsLL Ԗׯ0Ԗ$0DTimes New RomanLL Ԗׯ0Ԗ@ .  @n?" dd@  @@`` TLlut   ! 9 =b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  3f3@8  ʚ;8ʚ;g4MdMd ׯ0hppp@ <4ddddvS0L`  0___PPT10 fqfq___PPT9& ( F 2 ? -O  =,3Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1a HLT CPU FarmEFF composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/boxes * 1 HLT algorithm running/core^/L  /L,?.?Each sub-farm has its own control PC And its own control system&%% Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Status Counters Receives commandsB8 B8 Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    eHLT Tasks controlAlgorithms are integrated as hardware devices. Behavior modeled with well defined states. Common state diagram for all algorithms. Gaudi transitions are mapped to FSM transitions. `ZZ)Z2ZZ)2 Sub-Farm Controls UI  PartitioningDifferent sub-detectors, many teams and possible configurations (operation modes) (commissioning stage). Possibility to run hierarchies in parallel. Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Dynamic allocation i ( (2 ( ( (i2    @>  Farm pool controls Due to the hierarchical ECS main control and dynamic allocation Easy to include new farms into global system Due to single sub-farm controls as framework package and base on naming convention Easy to duplicate farm control system. A-S'?-S' ConclusionsThe LHCb experiment at CERN will have an Event Filter Farm (EFF) composed of 2000 CPUs. These machines will form a pool of 50 sub-farms with 30 to 40 nodes each, running a large amount of High Level Trigger (HLT) tasks in parallel. Although these tasks are identical algorithms, they can run at the same time being configured with different parameters, such as run type (Physics, Cosmics, Test, etc), HLT rate or with different subdetectors (partitions). The HLT is the second of the two trigger levels in LHCb. Its selection algorithms reduce the incoming data rate of 1 MHz to an output rate of 2 kHz. Selected events are sent for mass storage and subsequent offline reconstruction and analysis. These trigger processes running online are based on the same software framework as the algorithms for offline analysis (Gaudi). The control of the trigger farm was developed with an industrial SCADA system (PVSS) which is used throughout the Experiment Control System (ECS). The HLT algorithms are handled by the ECS like hardware devices, for instance, high voltage channels. The integration of the HLT controls in the overall ECS, which is modeled as finite state machines, will be presented. P Pt) B/p 0 (B(  (x ( c $<,M    r ( S ,=i   12 ( S ~̙1D[?"6@`NNN?No A ! b  EECS&( x2  ( TD[?"0@NNN?Nb 1 m  ( TD[?"0@NNN?Nb 1 /   (@ TD[?"0@NNN?Nb 1 P2  ( S ~(̙1D[?"6@`NNN?N3 ] =& dSubFarmN& ( x2  62  ( S ~\̙1D[?"6@`NNN?N  JSubFarm2& ( x2  62  ( S ~w̙1D[?"6@`NNN?N%@  JSubFarm1& ( x2   ( T1D[?"0@NNN?N / M 3  (@ T1D[?"0@NNN?N /  (@ T1D[?"0@NNN?N 0 / %| ( 6U[ v   & 02 ( S ~F̙1D[?"6@`NNN?NB aA5  DHV&( x2 12 ( S ~S̙1D[?"6@`NNN?Nk w ^  EDCS&( x2 12  ( S ~̙1D[?"6@`NNN?N   EDAQ&( x2  (@ TD[?"0@NNN?Nb Q1 B  ( TD[?"0@NNN?Nb 1   (@ TD[?"0@NNN?Nb 1 k 52 ( S ~̙1D[?"6@`NNN?N   ISTORAGE&( x2 12 ( S ~a̙1D[?"6@`NNN?Nm t`  ETFC&( x2   ( Be   DSee talk CMS1-1 An Integrated Control System for the LHCb experimentEE 5 12 ( S ~a̙1D[?"6@`NNN?N ?   EHLT&( x2 v ( 0( % m  & H ( 0޽h ? ( ( (((((((( ((( ((( (((((((( ((( 33___PPT10i.}+D=' = @B +*A 0 A@9@Pq Y>(  r  S L,U     ] <|  G  4x 50R%8 pB _1 G v$@ ppB \ppBr T B]+(GN2"`k jBt R 6"`p r P BGO"`p f  6N  T    #   `  0 `2  0   <X*  A HLT algorithmP T    #   `   0 `2   0    <  A HLT algorithmP T   #   `  0 `2  0   <ȴ  A HLT algorithmP T   #   `  0 `2  0   <0  A HLT algorithmP f  6 4E T   #   `  0 `2  0   <  A HLT algorithmP T   #   `  0 `2  0   <  A HLT algorithmP T    #   ` ! 0 `2 " 0  # <  A HLT algorithmP T   $#   ` % 0 `2 & 0  ' <  A HLT algorithmP f ( 6R  T   )# a, aH ` * 0 `2 + 0  , <  A HLT algorithmP T   -# aR ao ` . 0 `2 / 0  0 <X  A HLT algorithmP T   1# pR po ` 2 0 `2 3 0  4 <  A HLT algorithmP T   5# p, pH ` 6 0 `2 7 0  8 <L  A HLT algorithmP f 9 6 CA T   :#   ` ; 0 `2 < 0  = <  A HLT algorithmP T   >#   ` ? 0 `2 @ 0  A <H  A HLT algorithmP T   B# % % ` C 0 `2 D 0  E <  A HLT algorithmP T   F# % % ` G 0 `2 H 0  I <  A HLT algorithmP  J H%4K Q  B & x 40(z K <1"`4K p r N HGO1"`p4  ^ 6JS"`?P  x a c $0,M    R h@ s *jJgR i s *jJgR j s *jJg k <\s*f" `g IReadout Network0 "  HhjJ"`y  (   fG)Hu'I@1?"0@NNN?Nh7^  6Z6*  # lZd p?"6@`NNN?NR* 5CPU ^  6Z6H  # lZd͠ p?"6@`NNN?NRF 5CPU ^  6Z6+  # lZh p?"6@`NNN?NR) 5CPU ^  6Z6  # lZT p?"6@`NNN?NR 5CPU ^  6Z6  # lZ p?"6@`NNN?NR 5CPU ^  6Z6b  # lZp9  p?"6@`NNN?NRb 5CPU ^  6Z6c  # lZ\  p?"6@`NNN?NRa 5CPU ^  6Z6  # lZ  p?"6@`NNN?NR 5CPU  @  fG)Hu'I@1?"0@NNN?Nh7   fG)Hu'I@1?"0@NNN?Nhe7 @  fG)Hu'I@1?"0@NNN?Nh7   fG)Hu'I@1?"0@NNN?Nh+7   fG)Hu'I@1?"0@NNN?Nh7 @  fG)Hu'I@1?"0@NNN?NhH7 @  fG)Hu'I@1?"0@NNN?Nh7  B Ơ1"` :Switch(2   B\ڠ1"`F :Switch(2   B1"`D :Switch(2 H  0޽h ?`khkikj  33___PPT10i.3Б$+D=' = @B +0 l%(  lX l C L    l S $EL 0f  NF___PPT9(  iLarge amount of software processes + very different hardware devices Distributed hierarchical integrationLE % !E $ H l 0޽h ? 3380___PPT10.r &  gj1;#( / 00DArialNew RomanLL Ԗׯ0Ԗ"DWingdingsRomanLL Ԗׯ0Ԗ DMonotype SortsLL Ԗׯ0Ԗ$0DTimes New RomanLL Ԗׯ0Ԗ@ .  @n?" dd@  @@`` |"-t   ! 9 R  b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  3f3@8  ]ʚ;8ʚ;g4MdMd ׯ0hppp@ <4ddddvS0L`  b0___PPT10 fqfq"___PPT9&0 ( F 2 ? -O  =3Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1a High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-_HLT control PC Running main HLT project Control PC per sub-farm Running its own control system| Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Status Counters Receives commandsB8 B8 Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    eHLT Tasks controlAlgorithms are integrated as hardware devices. Behavior modeled with well defined states. Common state diagram for all algorithms. Gaudi transitions are mapped to FSM transitions. `ZZ)Z2ZZ)2 Sub-Farm Controls UI  PartitioningDifferent sub-detectors, many teams and possible configurations (operation modes) (commissioning stage). Possibility to run hierarchies in parallel. Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Dynamic allocation i ( (2 ( ( (i2    @>  Farm pool controls Due to the hierarchical ECS main control and dynamic allocation Easy to include new farms into global system Due to single sub-farm controls as framework package and base on naming convention Easy to duplicate farm control system. A-S'?-S' ConclusionsThe LHCb experiment at CERN will have an Event Filter Farm (EFF) composed of 2000 CPUs. These machines will form a pool of 50 sub-farms with 30 to 40 nodes each, running a large amount of High Level Trigger (HLT) tasks in parallel. Although these tasks are identical algorithms, they can run at the same time being configured with different parameters, such as run type (Physics, Cosmics, Test, etc), HLT rate or with different subdetectors (partitions). The HLT is the second of the two trigger levels in LHCb. Its selection algorithms reduce the incoming data rate of 1 MHz to an output rate of 2 kHz. Selected events are sent for mass storage and subsequent offline reconstruction and analysis. These trigger processes running online are based on the same software framework as the algorithms for offline analysis (Gaudi). The control of the trigger farm was developed with an industrial SCADA system (PVSS) which is used throughout the Experiment Control System (ECS). The HLT algorithms are handled by the ECS like hardware devices, for instance, high voltage channels. The integration of the HLT controls in the overall ECS, which is modeled as finite state machines, will be presented. P Pt) B/ 0 (B(  (x ( c $<,M    r ( S ,=i   12 ( S ~̙1D[?"6@`NNN?N   EECS&( x2  ( TD[?"0@NNN?N +  ( TD[?"0@NNN?N N   (@ TD[?"0@NNN?N Q> P2  ( S ~(̙1D[?"6@`NNN?N   dSubFarmN& ( x2  62  ( S ~\̙1D[?"6@`NNN?N uUv JSubFarm2& ( x2  62  ( S ~w̙1D[?"6@`NNN?N  JSubFarm1& ( x2   ( T1D[?"0@NNN?NA   (@ T1D[?"0@NNN?NA e  (@ T1D[?"0@NNN?NA  | ( 6U[i P & 02 ( S ~F̙1D[?"6@`NNN?N   DHV&( x2 12 ( S ~S̙1D[?"6@`NNN?N >   EDCS&( x2 12  ( S ~̙1D[?"6@`NNN?N> aA1  EDAQ&( x2  (@ TD[?"0@NNN?N   ( TD[?"0@NNN?N   (@ TD[?"0@NNN?N . 52 ( S ~̙1D[?"6@`NNN?N x  ISTORAGE&( x2 12 ( S ~a̙1D[?"6@`NNN?N ;  ETFC&( x2   ( Be || DSee talk CMS1-1 An Integrated Control System for the LHCb experimentEE 5 12 ( S ~a̙1D[?"6@`NNN?NN A  EHLT&( x2 v ( 0(. [  & H ( 0޽h ? 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These machines will form a pool of 50 sub-farms with 30 to 40 nodes each, running a large amount of High Level Trigger (HLT) tasks in parallel. Although these tasks are identical algorithms, they can run at the same time being configured with different parameters, such as run type (Physics, Cosmics, Test, etc), HLT rate or with different subdetectors (partitions). The HLT is the second of the two trigger levels in LHCb. Its selection algorithms reduce the incoming data rate of 1 MHz to an output rate of 2 kHz. Selected events are sent for mass storage and subsequent offline reconstruction and analysis. These trigger processes running online are based on the same software framework as the algorithms for offline analysis (Gaudi). The control of the trigger farm was developed with an industrial SCADA system (PVSS) which is used throughout the Experiment Control System (ECS). The HLT algorithms are handled by the ECS like hardware devices, for instance, high voltage channels. The integration of the HLT controls in the overall ECS, which is modeled as finite state machines, will be presented. 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B d vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower1  B d vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower % % >  d Bж1?"0@NNN?N  d Bж1?"0@NNN?N !  d Bж1?"0@NNN?N  d TжG0*H3I{1?"0@NNN?N 1  d Bж1?"0@NNN?N B d vEF$QVUVW ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower& d  `Ȣж?"0@NNN?Nw k F& (( }$ d Bж1?"0@NNN?N[I] d Bж1?"0@NNN?NI] Jd S iJd"`I G  J HLT Farm Nodes   Kd S (Kd"`qGI  0  Ld S Ld"`G I HLT Farm Control   Nd  `0e0e 1?#"  H DControl levels( 2   Od B ?"6@ NNN?Nf7  ZSub-farm Control Units8P2 12 Rd S ~F̙1D[?"6@`NNN?NX  EECS&( x2  Sd TD[?"0@NNN?N   Td TD[?"0@NNN?N   Ud@ TD[?"0@NNN?N W P2 Vd S ~0F̙1D[?"6@`NNN?N |  dSubFarmN& ( x2  62 Wd S ~lF̙1D[?"6@`NNN?N1 p$ JSubFarm2& ( x2  62 Xd S ~F̙1D[?"6@`NNN?N{ n JSubFarm1& ( x2   Yd T1D[?"0@NNN?N   Zd@ T1D[?"0@NNN?N 1  [d@ T1D[?"0@NNN?N {  \d 6UF (  2&  02 ]d S ~DeF̙1D[?"6@`NNN?N Uo  DHV&( x2 12 ^d S ~DF̙1D[?"6@`NNN?N 8  EDCS&( x2 12 _d S ~\&F̙1D[?"6@`NNN?N   EDAQ&( x2  `d@ TD[?"0@NNN?N   ad TD[?"0@NNN?N e  bd@ TD[?"0@NNN?N t 52 cd S ~F̙1D[?"6@`NNN?N 7a  ISTORAGE&( x2 12 dd S ~XF̙1D[?"6@`NNN?N V  ETFC&( x2 12 ed S ~F̙1D[?"6@`NNN?N W  EHLT&( x2  fd 0dF1   2&  H d 0޽h ?_dd ddd d ddd ddd dddddddddddd ddd ddd ddd ddd Rd_dUdRdddSdRdedTdedVdYdedWdZdedXd[dRd]d`dcdRdadRd^dbd 33___PPT10i.f+D=' = @B +0 (  r  S ,>  H  0޽h ? 3380___PPT10.|r 2!K ψ1#( / 00DArialNew RomanLL Ԗׯ0Ԗ"DWingdingsRomanLL Ԗׯ0Ԗ DMonotype SortsLL Ԗׯ0Ԗ$0DTimes New RomanLL Ԗׯ0Ԗ@ .  @n?" dd@  @@`` ($Jt   ! 9 g  !b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  3f3@8  ]ʚ;8ʚ;g4KdKd ׯ0,ppp@ <4ddddvS0L`  b0___PPT10 fqfq"___PPT9&0 F ( 2 ? -O  =z3Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1a High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|EE  Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    e Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Status Counters Receives commandsB8 B8HLT Tasks controlAlgorithms are integrated as hardware devices. Behavior modeled with well defined states. Common state diagram for all algorithms. Gaudi transitions are mapped to FSM transitions. `ZZ)Z2ZZ)2 Sub-Farm Controls UI  PartitioningDifferent sub-detectors, many teams and possible configurations (operation modes) (commissioning stage). Possibility to run hierarchies in parallel. Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Dynamic allocation i ( (2 ( ( (i2    @>  Farm pool controls Due to the hierarchical ECS main control and dynamic allocation Easy to include new farms into global system Due to single sub-farm controls as framework package and base on naming convention Easy to duplicate farm control system. A-S'?-S' ConclusionsThe LHCb experiment at CERN will have an Event Filter Farm (EFF) composed of 2000 CPUs. These machines will form a pool of 50 sub-farms with 30 to 40 nodes each, running a large amount of High Level Trigger (HLT) tasks in parallel. Although these tasks are identical algorithms, they can run at the same time being configured with different parameters, such as run type (Physics, Cosmics, Test, etc), HLT rate or with different subdetectors (partitions). The HLT is the second of the two trigger levels in LHCb. Its selection algorithms reduce the incoming data rate of 1 MHz to an output rate of 2 kHz. Selected events are sent for mass storage and subsequent offline reconstruction and analysis. These trigger processes running online are based on the same software framework as the algorithms for offline analysis (Gaudi). The control of the trigger farm was developed with an industrial SCADA system (PVSS) which is used throughout the Experiment Control System (ECS). The HLT algorithms are handled by the ECS like hardware devices, for instance, high voltage channels. The integration of the HLT controls in the overall ECS, which is modeled as finite state machines, will be presented. P Pt) B/r ڬ1#( / 00DArialNew RomanLL Ԗׯ0Ԗ"DWingdingsRomanLL Ԗׯ0Ԗ DMonotype SortsLL Ԗׯ0Ԗ$0DTimes New RomanLL Ԗׯ0Ԗ@ .  @n?" dd@  @@`` ($Jt   ! 9 g  !b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  3f3@8  ]ʚ;8ʚ;g4KdKd ׯ0,ppp@ <4ddddvS0L`  b0___PPT10 fqfq"___PPT9&0 F ( 2 ? -O  =z3Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1a High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|EE  Task architecture on HLT node       !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{}~Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    e Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Status Counters Receives commandsB8 B8HLT Tasks controlAlgorithms are integrated as hardware devices. Behavior modeled with well defined states. Common state diagram for all algorithms. Gaudi transitions are mapped to FSM transitions. `ZZ)Z2ZZ)2 Sub-Farm Controls UI  PartitioningDifferent sub-detectors, many teams and possible configurations (operation modes) (commissioning stage). Possibility to run hierarchies in parallel. Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Dynamic allocation i ( (2 ( ( (i2    @>  Farm pool controls Due to the hierarchical ECS main control and dynamic allocation Easy to include new farms into global system Due to single sub-farm controls as framework package and base on naming convention Easy to duplicate farm control system. A-S'?-S' ConclusionsThe LHCb experiment at CERN will have an Event Filter Farm (EFF) composed of 2000 CPUs. These machines will form a pool of 50 sub-farms with 30 to 40 nodes each, running a large amount of High Level Trigger (HLT) tasks in parallel. Although these tasks are identical algorithms, they can run at the same time being configured with different parameters, such as run type (Physics, Cosmics, Test, etc), HLT rate or with different subdetectors (partitions). The HLT is the second of the two trigger levels in LHCb. Its selection algorithms reduce the incoming data rate of 1 MHz to an output rate of 2 kHz. Selected events are sent for mass storage and subsequent offline reconstruction and analysis. These trigger processes running online are based on the same software framework as the algorithms for offline analysis (Gaudi). The control of the trigger farm was developed with an industrial SCADA system (PVSS) which is used throughout the Experiment Control System (ECS). The HLT algorithms are handled by the ECS like hardware devices, for instance, high voltage channels. The integration of the HLT controls in the overall ECS, which is modeled as finite state machines, will be presented. P Pt) B/ 0 (B(  (x ( c $<,M    r ( S ,=i   12 ( S ~̙1D[?"6@`NNN?N   EECS&( x2  ( TD[?"0@NNN?N +  ( TD[?"0@NNN?N N   (@ TD[?"0@NNN?N Q> P2  ( S ~(̙1D[?"6@`NNN?N   dSubFarmN& ( x2  62  ( S ~\̙1D[?"6@`NNN?N uUv JSubFarm2& ( x2  62  ( S ~w̙1D[?"6@`NNN?N  JSubFarm1& ( x2   ( T1D[?"0@NNN?NA   (@ T1D[?"0@NNN?NA e  (@ T1D[?"0@NNN?NA  | ( 6U[i P & 02 ( S ~F̙1D[?"6@`NNN?N   DHV&( x2 12 ( S ~S̙1D[?"6@`NNN?N >   EDCS&( x2 12  ( S ~̙1D[?"6@`NNN?N> aA1  EDAQ&( x2  (@ TD[?"0@NNN?N   ( TD[?"0@NNN?N   (@ TD[?"0@NNN?N . 52 ( S ~̙1D[?"6@`NNN?N x  ISTORAGE&( x2 12 ( S ~a̙1D[?"6@`NNN?N ;  ETFC&( x2   ( Be || DSee talk CMS1-1 An Integrated Control System for the LHCb experimentEE 5 12 ( S ~a̙1D[?"6@`NNN?NN A  EHLT&( x2 v ( 0(. [  & H ( 0޽h ? ( ( (((((((( ((( ((( (((((((( ((( 33___PPT10_.}+D' = @B D' = @BA?%,( < +O%,( < +D' =%(D' =%(D=' =A@BBBB0B%(D' =0l9 CCBB*<3<*(+8+0+(0 +r 1#( / 00DArialNew RomanLL Ԗׯ0Ԗ"DWingdingsRomanLL Ԗׯ0Ԗ DMonotype SortsLL Ԗׯ0Ԗ$0DTimes New RomanLL Ԗׯ0Ԗ@ .  @n?" dd@  @@`` ($Ht   ! 9 g  !b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  3f3@8  ]ʚ;8ʚ;g4KdKd ׯ0,ppp@ <4ddddvS0L`  b0___PPT10 fqfq"___PPT9&0 F ( 2 ? -O  =z3Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1a High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|EE  Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    e Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Status Counters Receives commandsB8 B8HLT Tasks controlAlgorithms are integrated as hardware devices. Behavior modeled with well defined states. Common state diagram for all algorithms. Gaudi transitions are mapped to FSM transitions. `ZZ)Z2ZZ)2 Sub-Farm Controls UI  PartitioningDifferent sub-detectors, many teams and possible configurations (operation modes) (commissioning stage). Possibility to run hierarchies in parallel. Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Dynamic allocation i ( (2 ( ( (i2    @>  Farm pool controls Due to the hierarchical ECS main control and dynamic allocation Easy to include new farms into global system Due to single sub-farm controls as framework package and base on naming convention Easy to duplicate farm control system. A-S'?-S' ConclusionsThe LHCb experiment at CERN will have an Event Filter Farm (EFF) composed of 2000 CPUs. These machines will form a pool of 50 sub-farms with 30 to 40 nodes each, running a large amount of High Level Trigger (HLT) tasks in parallel. Although these tasks are identical algorithms, they can run at the same time being configured with different parameters, such as run type (Physics, Cosmics, Test, etc), HLT rate or with different subdetectors (partitions). The HLT is the second of the two trigger levels in LHCb. Its selection algorithms reduce the incoming data rate of 1 MHz to an output rate of 2 kHz. Selected events are sent for mass storage and subsequent offline reconstruction and analysis. These trigger processes running online are based on the same software framework as the algorithms for offline analysis (Gaudi). The control of the trigger farm was developed with an industrial SCADA system (PVSS) which is used throughout the Experiment Control System (ECS). The HLT algorithms are handled by the ECS like hardware devices, for instance, high voltage channels. The integration of the HLT controls in the overall ECS, which is modeled as finite state machines, will be presented. P Pt) B/ 0 @(  p  HFXͤf&A?rkx  c $,M      Bh   " BReadout system "  BԔ?"` %  ,$D0H  0޽h ? 33___PPT10n.3PcQ+UDB' = @B D' = @BA?%,( < +O%,( < +D4' =%(D' =%(D' =4@BBBB%(D' =1:Bvisible*o3>+B#style.visibility<*%(+r1#( / 00DArialNew RomanLL Ԗׯ0Ԗ"DWingdingsRomanLL Ԗׯ0Ԗ DMonotype SortsLL Ԗׯ0Ԗ$0DTimes New RomanLL Ԗׯ0Ԗ@ .  @n?" dd@  @@`` ($It   ! 9 g  !b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  3f3@8  ]ʚ;8ʚ;g4KdKd ׯ0,ppp@ <4ddddvS0L`  b0___PPT10 fqfq"___PPT9&0 F ( 2 ? -O  =z3Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1a High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|EE  Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    e Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Status Counters Receives commandsB8 B8HLT Tasks controlAlgorithms are integrated as hardware devices. Behavior modeled with well defined states. Common state diagram for all algorithms. Gaudi transitions are mapped to FSM transitions. `ZZ)Z2ZZ)2 Sub-Farm Controls UI  PartitioningDifferent sub-detectors, many teams and possible configurations (operation modes) (commissioning stage). Possibility to run hierarchies in parallel. Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Dynamic allocation i ( (2 ( ( (i2    @>  Farm pool controls Due to the hierarchical ECS main control and dynamic allocation Easy to include new farms into global system Due to single sub-farm controls as framework package and base on naming convention Easy to duplicate farm control system. A-S'?-S' ConclusionsThe LHCb experiment at CERN will have an Event Filter Farm (EFF) composed of 2000 CPUs. These machines will form a pool of 50 sub-farms with 30 to 40 nodes each, running a large amount of High Level Trigger (HLT) tasks in parallel. Although these tasks are identical algorithms, they can run at the same time being configured with different parameters, such as run type (Physics, Cosmics, Test, etc), HLT rate or with different subdetectors (partitions). The HLT is the second of the two trigger levels in LHCb. Its selection algorithms reduce the incoming data rate of 1 MHz to an output rate of 2 kHz. Selected events are sent for mass storage and subsequent offline reconstruction and analysis. These trigger processes running online are based on the same software framework as the algorithms for offline analysis (Gaudi). The control of the trigger farm was developed with an industrial SCADA system (PVSS) which is used throughout the Experiment Control System (ECS). The HLT algorithms are handled by the ECS like hardware devices, for instance, high voltage channels. The integration of the HLT controls in the overall ECS, which is modeled as finite state machines, will be presented. P Pt) B/p  0 @L(  p  HFXͤf&A?rkx  c $,M      Bh   " BReadout system "  BԔ?"` %  ,$D0"  BԔ?"`e ,$@0H  0޽h ? 33\T___PPT104.3PcQ+hD' = @B D' = @BA?%,( < +O%,( < +D4' =%(D' =%(D' =4@BBBB%(D' =1:Bvisible*o3>+B#style.visibility<*%(D' =%(Df' =%(D' =4@BBBB%(D' =1:Bvisible*o3>+B#style.visibility<*%(D' =4@BBBB%(D' =1:Bhidden*o3>+B#style.visibility<*%(+r;F1#( / 00DArialNew RomanLL Ԗׯ0Ԗ"DWingdingsRomanLL Ԗׯ0Ԗ DMonotype SortsLL Ԗׯ0Ԗ$0DTimes New RomanLL Ԗׯ0Ԗ@ .  @n?" dd@  @@`` ($Ot   ! 9 m  !b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  3f3@8  ]ʚ;8ʚ;g4KdKd ׯ0,ppp@ <4ddddvS0L`  b0___PPT10 fqfq"___PPT9&0 F ( 2 ? -O  =z3Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1a High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|EE  Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    e Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Status Counters Receives commandsB8 B8HLT Tasks controlAlgorithms are integrated as hardware devices. Behavior modeled with well defined states. Common state diagram for all algorithms. Gaudi transitions are mapped to FSM transitions. `ZZ)Z2ZZ)2 Sub-Farm Controls UI  PartitioningDifferent sub-detectors, many teams and possible configurations (operation modes) (commissioning stage). Possibility to run hierarchies in parallel. Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Dynamic allocation i ( (2 ( ( (i2    @>  Farm pool controls Due to the hierarchical ECS main control and dynamic allocation Easy to include new farms into global system Due to single sub-farm controls as framework package and base on naming convention Easy to duplicate farm control system. A-S'?-S' ConclusionsThe LHCb experiment at CERN will have an Event Filter Farm (EFF) composed of 2000 CPUs. These machines will form a pool of 50 sub-farms with 30 to 40 nodes each, running a large amount of High Level Trigger (HLT) tasks in parallel. Although these tasks are identical algorithms, they can run at the same time being configured with different parameters, such as run type (Physics, Cosmics, Test, etc), HLT rate or with different subdetectors (partitions). The HLT is the second of the two trigger levels in LHCb. Its selection algorithms reduce the incoming data rate of 1 MHz to an output rate of 2 kHz. Selected events are sent for mass storage and subsequent offline reconstruction and analysis. These trigger processes running online are based on the same software framework as the algorithms for offline analysis (Gaudi). The control of the trigger farm was developed with an industrial SCADA system (PVSS) which is used throughout the Experiment Control System (ECS). The HLT algorithms are handled by the ECS like hardware devices, for instance, high voltage channels. The integration of the HLT controls in the overall ECS, which is modeled as finite state machines, will be presented. P Pt) B/qB 0 AA=ld`=(  dr d S  ,M    r d S  ,GA    B d vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower  B d vEF$QVUVW ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower][[B d vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower  B  d vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower  B  d vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower!  B  d vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower ''.   d Bж1?"0@NNN?N   d Bж1?"0@NNN?N  d Bж1?"0@NNN?N  d TжG0*H3I{1?"0@NNN?N!  d Bж1?"0@NNN?N B d vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower  B d vEF$QVUVW ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower]  B d vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower!  B d vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower  . B d vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower1  B d vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower % % >  d Bж1?"0@NNN?N  d Bж1?"0@NNN?N !  d Bж1?"0@NNN?N  d TжG0*H3I{1?"0@NNN?N 1  d Bж1?"0@NNN?N B d vEF$QVUVW ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower& d  `Ȣж?"0@NNN?Nw k F& (( }$ d Bж1?"0@NNN?N[I] d Bж1?"0@NNN?NI] Jd S iJd"`I G  J HLT Farm Nodes   Kd S (Kd"`qGI  0  Ld S Ld"`G I HLT Farm Control   Nd  `0e0e 1?#"  H DControl levels( 2   Od B ?"6@ NNN?Nf7  ZSub-farm Control Units8P2 12 Rd S ~F̙1D[?"6@`NNN?N EECS&( x2  Sd TD[?"0@NNN?NY  Td TD[?"0@NNN?NY  Ud@ TD[?"0@NNN?NWY P2 Vd S ~0F̙1D[?"6@`NNN?N5 (  dSubFarmN& ( x2  62 Wd S ~lF̙1D[?"6@`NNN?N p  JSubFarm2& ( x2  62 Xd S ~F̙1D[?"6@`NNN?N   JSubFarm1& ( x2   Yd T1D[?"0@NNN?N 5  Zd@ T1D[?"0@NNN?N   [d@ T1D[?"0@NNN?N   \d 6UF (j  2&  02 ]d S ~DeF̙1D[?"6@`NNN?N U  DHV&( x2 12 ^d S ~DF̙1D[?"6@`NNN?N 8  EDCS&( x2 12 _d S ~\&F̙1D[?"6@`NNN?N o  EDAQ&( x2  `d@ TD[?"0@NNN?NY  ad TD[?"0@NNN?NYep  bd@ TD[?"0@NNN?NtY 52 cd S ~F̙1D[?"6@`NNN?Np 7F  ISTORAGE&( x2 12 dd S ~XF̙1D[?"6@`NNN?N V  ETFC&( x2 12 ed S ~F̙1D[?"6@`NNN?N W  EHLT&( x2  fd 0dF   2&  M2 gd S ~̙۠1D[?"6@`NNN?N3 & aNodeN&( x2 32 hd S ~F̙1D[?"6@`NNN?N  GNode2&( x2 32 id S ~ܵF̙1D[?"6@`NNN?N  GNode1&( x2  jd@ T1D[?"0@NNN?N   kd@ T1D[?"0@NNN?N   ld T1D[?"0@NNN?N 3 H d 0޽h ?dd ddd d ddd ddd dddddddddddd ddd ddd ddd ddd Rd_dUdRdddSdRdedTdedVdYdedWdZdedXd[dRd]d`dcdRdadRd^dbdXdidjdXdhdkdXdgdld 33___PPT10i.f+D=' = @B +r6GjGn1%( / 00DArialNew RomanLL Ԗׯ0Ԗ"DWingdingsRomanLL Ԗׯ0Ԗ DMonotype SortsLL Ԗׯ0Ԗ$0DTimes New RomanLL Ԗׯ0Ԗ@ .  @n?" dd@  @@`` 0%St   ! 9 m  ! b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  3f3@8  ʚ;8ʚ;g4KdKd ׯ0,ppp@ <4ddddvS0L`  0___PPT10 fqfqj___PPT9LD&0 F (0 2 ? -O  =3Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1a High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT Top level controlHLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|/ 00DArialNew RomanLLu?Ԗׯ0Ԗ"DWingdingsRomanLLu?Ԗׯ0Ԗ DMonotype SortsLLu?Ԗׯ0Ԗ$0DTimes New RomanLLu?Ԗׯ0Ԗ@ .  @n?" dd@  @@``EEHLT low level control5Logical aggregation Functional algorithms By HLT node`     Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    e Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Status Counters Receives commandsB8 B8HLT Tasks controlAlgorithms are treated by the ECS as hardware devices. Integrated as Device Unit (DU) DU behavior modeled with well defined states. Common state diagram for all algorithms. Transitions are mapped to Gaudi transitions 7ZZ.ZVZ7.V Sub-Farm Controls UI  PartitioningDifferent sub-detectors, many teams and possible configurations (operation modes) (commissioning stage). Possibility to run hierarchies in parallel. Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Dynamic allocation i ( (2 ( ( (i2    @>  Farm pool controls Due to the hierarchical ECS main control and dynamic allocation Easy to include new farms into global system Due to single sub-farm controls as framework package and base on naming convention Easy to duplicate farm control system. A-S'?-S' ConclusionsThe LHCb experiment at CERN will have an Event Filter Farm (EFF) composed of 2000 CPUs. These machines will form a pool of 50 sub-farms with 30 to 40 nodes each, running a large amount of High Level Trigger (HLT) tasks in parallel. Although these tasks are identical algorithms, they can run at the same time being configured with different parameters, such as run type (Physics, Cosmics, Test, etc), HLT rate or with different subdetectors (partitions). The HLT is the second of the two trigger levels in LHCb. Its selection algorithms reduce the incoming data rate of 1 MHz to an output rate of 2 kHz. Selected events are sent for mass storage and subsequent offline reconstruction and analysis. These trigger processes running online are based on the same software framework as the algorithms for offline analysis (Gaudi). The control of the trigger farm was developed with an industrial SCADA system (PVSS) which is used throughout the Experiment Control System (ECS). The HLT algorithms are handled by the ECS like hardware devices, for instance, high voltage channels. The integration of the HLT controls in the overall ECS, which is modeled as finite state machines, will be presented. P Pt) B/qB 0 AA=ld`=(  dr d S  ,M    r d S  ,GA    B d vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower  B d vEF$QVUVW ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower][[B d vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower  B  d vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower  B  d vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower!  B  d vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower ''.   d Bж1?"0@NNN?N   d Bж1?"0@NNN?N  d Bж1?"0@NNN?N  d TжG0*H3I{1?"0@NNN?N!  d Bж1?"0@NNN?N B d vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower  B d vEF$QVUVW ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower]  B d vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower!  B d vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower  . B d vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower1  B d vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower % % >  d Bж1?"0@NNN?N  d Bж1?"0@NNN?N !  d Bж1?"0@NNN?N  d TжG0*H3I{1?"0@NNN?N 1  d Bж1?"0@NNN?N B d vEF$QVUVW ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower& d  `Ȣж?"0@NNN?Nw k F& (( }$ d Bж1?"0@NNN?N[I] d Bж1?"0@NNN?NI] Jd S iJd"`I G  J HLT Farm Nodes   Kd S (Kd"`qGI  0  Ld S Ld"`G I HLT Farm Control   Nd  `0e0e 1?#"  H DControl levels( 2   Od B ?"6@ NNN?Nf7  ZSub-farm Control Units8P2 12 Rd S ~F̙1D[?"6@`NNN?N EECS&( x2  Sd TD[?"0@NNN?NY  Td TD[?"0@NNN?NY  Ud@ TD[?"0@NNN?NWY P2 Vd S ~0F̙1D[?"6@`NNN?N5 (  dSubFarmN& ( x2  62 Wd S ~lF̙1D[?"6@`NNN?N p  JSubFarm2& ( x2  62 Xd S ~F̙1D[?"6@`NNN?N   JSubFarm1& ( x2   Yd T1D[?"0@NNN?N 5  Zd@ T1D[?"0@NNN?N   [d@ T1D[?"0@NNN?N   \d 6UF (j  2&  02 ]d S ~DeF̙1D[?"6@`NNN?N U  DHV&( x2 12 ^d S ~DF̙1D[?"6@`NNN?N 8  EDCS&( x2 12 _d S ~\&F̙1D[?"6@`NNN?N o  EDAQ&( x2  `d@ TD[?"0@NNN?NY  ad TD[?"0@NNN?NYep  bd@ TD[?"0@NNN?NtY 52 cd S ~F̙1D[?"6@`NNN?Np 7F  ISTORAGE&( x2 12 dd S ~XF̙1D[?"6@`NNN?N V  ETFC&( x2 12 ed S ~F̙1D[?"6@`NNN?N W  EHLT&( x2  fd 0dF   2&  M2 gd S ~̙۠1D[?"6@`NNN?N3 & aNodeN&( x2 32 hd S ~F̙1D[?"6@`NNN?N  GNode2&( x2 32 id S ~ܵF̙1D[?"6@`NNN?N  GNode1&( x2  jd@ T1D[?"0@NNN?N   kd@ T1D[?"0@NNN?N   ld T1D[?"0@NNN?N 3 H d 0޽h ?dd ddd d ddd ddd dddddddddddd ddd ddd ddd ddd Rd_dUdRdddSdRdedTdedVdYdedWdZdedXd[dRd]d`dcdRdadRd^dbdXdidjdXdhdkdXdgdld 33___PPT10i.f+D=' = @B + 0  x(  r  S ( ,M    r  S ̬ ,    d  <A? 8 l2  6jJ"`;l2  63jJ"`UH  0޽h ? 33___PPT10i.|+D=' = @B +T 0 kc0s S(   x  c $,M    r  S ,;    c $@ "` o O  YERROR     c $ u"`X Ns   YREADY     c $D "`   f Start  "  LB  @ c $D    S  "` sS  VLoad     c $ ̙"` ct  [RUNNING     S  "` S   \ Configure       c $@ "`HEs   [UNKNOWN   X  0GuHIu( t o (   c $| "` 3  _ NOT_READY      LB  c $D   c $ "` H  WReset     c $ "`  W Stop   LB  @ c $D  LB ! @ c $D I LB " c $D H LB # c $D  $ S $ "`  ZUnload   d 7 @ <GxH Ix' _  8 c $T8 "` o (  [Recover   jb 9 BG ZHIs t ( jb : BGHII6s t pR < @ HGHuIs _  = c $= "`H /  w Task dies   0   H  0޽h ?_     7   9   :    <  33___PPT10i.~+D=' = @B +r !H }*1%( / 00DArialNew RomanLL Ԗׯ0Ԗ"DWingdingsRomanLL Ԗׯ0Ԗ DMonotype SortsLL Ԗׯ0Ԗ$0DTimes New RomanLL Ԗׯ0Ԗ@ .  @n?" dd@  @@`` 0%Rt   ! 9 m  ! b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  3f3@8  ʚ;8ʚ;g4KdKd ׯ0,ppp@ <4ddddvS0L`  0___PPT10 fqfqj___PPT9LD&0 F (0 2 ? -O  =3Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1a High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT Top level controlHLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|EEHLT low level control5Logical aggregation Functional algorithms By HLT node`     Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    e Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Status Counters Receives commandsB8 B8HLT Tasks controlAlgorithms are treated by the ECS as hardware devices. Integrated as Device Unit (DU) DU behavior modeled with well defined states. Common state diagram for all algorithms. Transitions are mapped to Gaudi transitions 7ZZ.ZVZ7.V Sub-Farm Controls UI  PartitioningDifferent sub-detectors, many teams and possible configurations (operation modes) (commissioning stage). Possibility to run hierarchies in parallel. Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Dynamic allocation i ( (2 ( ( (i2    @>  Farm pool controls Due to the hierarchical ECS main control and dynamic allocation Easy to include new farms into global system Due to single sub-farm controls as framework package and base on naming convention Easy to duplicate farm control system. A-S'?-S' ConclusionsThe LHCb experiment at CERN will have an Event Filter Farm (EFF) composed of 2000 CPUs. These machines will form a pool of 50 sub-farms with 30 to 40 nodes each, running a large amount of High Level Trigger (HLT) tasks in parallel. Although these tasks are identical algorithms, they can run at the same time being configured with different parameters, such as run type (Physics, Cosmics, Test, etc), HLT rate or with different subdetectors (partitions). The HLT is the second of the two trigger levels in LHCb. Its selection algorithms reduce the incoming data rate of 1 MHz to an output rate of 2 kHz. Selected events are sent for mass storage and subsequent offline reconstruction and analysis. These trigger processes running online are based on the same software framework as the algorithms for offline analysis (Gaudi). The control of the trigger farm was developed with an industrial SCADA system (PVSS) which is used throughout the Experiment Control System (ECS). The HLT algorithms are handled by the ECS like hardware devices, for instance, high voltage channels. The integration of the HLT controls in the overall ECS, which is modeled as finite state machines, will be presented. P Pt) B/ 0  D@(  Dx D c $,M    r D S `,Hi   \ D c 4B Ath_dfdU[ I ^2 D 6f ,   D 6f1 !  8HLT task  wL X V  D#  , f2 D 6fX V  D BLf   3ECS^ D 0D  iNPH@___PPT9" RControls based on HLT naming convention Sub-farm (row and index) UTGID (task name)8(+ (+H D 0޽h ? 33___PPT10i.Њv+D=' = @B +r*O *V1 %( / 00DArialNew RomanLL Ԗׯ0Ԗ"DWingdingsRomanLL Ԗׯ0Ԗ DMonotype SortsLL Ԗׯ0Ԗ$0DTimes New RomanLL Ԗׯ0Ԗ@ .  @n?" dd@  @@`` 0%Rt   ! 9 m  ! b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  3f3@8  ʚ;8ʚ;g4KdKd ׯ0,ppp@ <4ddddvS0L`  0___PPT10 fqfqf___PPT9H@&0 F (, 2 ? -O  =3Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1a High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT Top level controlHLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|EEHLT low level control5Logical aggregation Functional algorithms By HLT node`     Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    e Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Status Counters Receives commandsB8 B8HLT Tasks controlAlgorithms are treated by the ECS as hardware devices. Integrated as Device Unit (DU) DU behavior modeled with Finite State Machines Common state diagram for all algorithms Transitions are mapped to Gaudi transitions x7Z Z/ZU Z7/U Sub-Farm Controls UI  PartitioningDifferent sub-detectors, many teams and possible configurations (operation modes) (commissioning stage). Possibility to run hierarchies in parallel. Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Dynamic allocation i ( (2 ( ( (i2    @>  Farm pool controls Due to the hierarchical ECS main control and dynamic allocation Easy to include new farms into global system Due to single sub-farm controls as framework package and base on naming convention Easy to duplicate farm control system. A-S'?-S' ConclusionsThe LHCb experiment at CERN will have an Event Filter Farm (EFF) composed of 2000 CPUs. These machines will form a pool of 50 sub-farms with 30 to 40 nodes each, running a large amount of High Level Trigger (HLT) tasks in parallel. Although these tasks are identical algorithms, they can run at the same time being configured with different parameters, such as run type (Physics, Cosmics, Test, etc), HLT rate or with different subdetectors (partitions). The HLT is the second of the two trigger levels in LHCb. Its selection algorithms reduce the incoming data rate of 1 MHz to an output rate of 2 kHz. Selected events are sent for mass storage and subsequent offline reconstruction and analysis. These trigger processes running online are based on the same software framework as the algorithms for offline analysis (Gaudi). The control of the trigger farm was developed with an industrial SCADA system (PVSS) which is used throughout the Experiment Control System (ECS). The HLT algorithms are handled by the ECS like hardware devices, for instance, high voltage channels. The integration of the HLT controls in the overall ECS, which is modeled as finite state machines, will be presented. P Pt) B/Q 0 h`@$8T(  T" -T Nh'jJ"`  (r T S ',M   r T S ),vq  " T B*jJ"`6   V DataWriter    T  fG)Hu'I@1?"0@NNN?N 770  T T1?"0@NNN?NsCC2 T B0p?"6@`NNN?Ns AReadout network" T B3jJ"`8 @Event Building T  fG)Hu'I@1?"0@NNN?NC T T1?"0@NNN?N 7B  T B8p?"6@`NNN?N f  9Storaged T <ZF`  T 3 rZ< p?"6@`NNN?ND-  9Trigger d T <Z+`   T 3 rZP@ p?"6@`NNN?N+-  9Trigger d !T <ZE`  "T 3 rZD p?"6@`NNN?NE-  9Trigger d #T <Z,`  $T 3 rZPC p?"6@`NNN?N*-  9Trigger d %T <Z`  &T 3 rZL p?"6@`NNN?N-  9Trigger d 'T <Zc`  (T 3 rZP p?"6@`NNN?Na-  9Trigger d )T <Za`  *T 3 rZN p?"6@`NNN?Na-  9Trigger d +T <Z`  ,T 3 rZX p?"6@`NNN?N -  9Trigger  /T@  fG)Hu'I@1?"0@NNN?NC 0T  fG)Hu'I@1?"0@NNN?NC 1T@  fG)Hu'I@1?"0@NNN?NIC 2T  fG)Hu'I@1?"0@NNN?NC 3T  fG)Hu'I@1?"0@NNN?NC* 4T B ]p?"6@`NNN?Nm > Event flow   6T@  fG)Hu'I@1?"0@NNN?NC 7T@  fG)Hu'I@1?"0@NNN?NfCH T 0޽h ?`T-TTTTTTTTTTT TT/T T!T0T T+T1T T'T2T T)T3TT%T6TT#T7T 33___PPT10i.]L+D=' = @B +T 0 kc0s S(   x  c $,M    r  S ,7    c $@ "`V o O YERROR     c $ u"` Ns  YREADY     c $D "`   f Start  "  LB  @ c $D W   S  "` sS &  VLoad     c $ ̙"`V ct  [RUNNING     S  "`1 S  \ Configure       c $@ "`Es  [UNKNOWN   X  0GuHIu t o   c $| "`V 3   _ NOT_READY      LB  c $D V   c $ "`F  WReset     c $ "` a  W Stop   LB  @ c $D W LB ! @ c $D  LB " c $D LB # c $D V  $ S $ "` &  ZUnload   d 7 @ <GxH Ix _ V  8 c $T8 "`& o   [Recover   jb 9 BG ZHI6 s t jb : BGHII66 s t > pR < @ HGHuI6 s _ V  = c $= "` / f  w Task dies   0   H  0޽h ?_     7   9   :    <  33___PPT10i.~+D=' = @B +r"W7|V1 %( / 00DArialNew RomanLL Ԗׯ0Ԗ"DWingdingsRomanLL Ԗׯ0Ԗ DMonotype SortsLL Ԗׯ0Ԗ$0DTimes New RomanLL Ԗׯ0Ԗ@ .  @n?" dd@  @@`` 0%Rt   ! 9 m  ! b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  3f3@8  ʚ;8ʚ;g4KdKd ׯ0,ppp@ <4ddddvS0L`  0___PPT10 fqfqf___PPT9H@&0 F (, 2 ? -O  =3Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1a High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT Top level controlHLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|EEHLT low level control5Logical aggregation Functional algorithms By HLT node`     Task architect 8&Ct   ! 9 m  ! b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'ure on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    e Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Status Counters Receives commandsB8 B8HLT Tasks controlAlgorithms are treated by the ECS as hardware devices. Integrated as Device Unit (DU) DU behavior modeled with Finite State Machines Common state diagram for all algorithms Transitions mapped to Gaudi transitions x7Z Z/ZQ Z7/Q Sub-Farm Controls UI  PartitioningDifferent sub-detectors, many teams and possible configurations (operation modes) (commissioning stage). Possibility to run hierarchies in parallel. Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Dynamic allocation i ( (2 ( ( (i2    @>  Farm pool controls Due to the hierarchical ECS main control and dynamic allocation Easy to include new farms into global system Due to single sub-farm controls as framework package and base on naming convention Easy to duplicate farm control system. A-S'?-S' ConclusionsThe LHCb experiment at CERN will have an Event Filter Farm (EFF) composed of 2000 CPUs. These machines will form a pool of 50 sub-farms with 30 to 40 nodes each, running a large amount of High Level Trigger (HLT) tasks in parallel. Although these tasks are identical algorithms, they can run at the same time being configured with different parameters, such as run type (Physics, Cosmics, Test, etc), HLT rate or with different subdetectors (partitions). The HLT is the second of the two trigger levels in LHCb. Its selection algorithms reduce the incoming data rate of 1 MHz to an output rate of 2 kHz. Selected events are sent for mass storage and subsequent offline reconstruction and analysis. These trigger processes running online are based on the same software framework as the algorithms for offline analysis (Gaudi). The control of the trigger farm was developed with an industrial SCADA system (PVSS) which is used throughout the Experiment Control System (ECS). The HLT algorithms are handled by the ECS like hardware devices, for instance, high voltage channels. The integration of the HLT controls in the overall ECS, which is modeled as finite state machines, will be presented. P Pt) B/T 0 kc0s S(   x  c $,M    r  S ,7    c $@ "`V o O YERROR     c $ u"` Ns  YREADY     c $D "`   f Start  "  LB  @ c $D W   S  "` sS &  VLoad     c $ ̙"`V ct  [RUNNING     S  "`1 S  \ Configure       c $@ "`Es  [UNKNOWN   X  0GuHIu t o   c $| "`V 3   _ NOT_READY      LB  c $D V   c $ "`F  WReset     c $ "` a  W Stop   LB  @ c $D W LB ! @ c $D  LB " c $D LB # c $D V  $ S $ "` &  ZUnload   d 7 @ <GxH Ix _ V  8 c $T8 "`& o   [Recover   jb 9 BG ZHI6 s t jb : BGHII66 s t > pR < @ HGHuI6 s _ V  = c $= "` / f  w Task dies   0   H  0޽h ?_     7   9   :    <  33___PPT10i.~+D=' = @B +r0A 1 %( / 00DArialNew RomanLL Ԗׯ0Ԗ"DWingdingsRomanLL Ԗׯ0Ԗ DMonotype SortsLL Ԗׯ0Ԗ$0DTimes New RomanLL Ԗׯ0Ԗ@ .  @n?" dd@  @@`` 0%Rt   ! 9 m  ! b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  3f3@8  ʚ;8ʚ;g4KdKd ׯ0,ppp@ <4ddddvS0L`  0___PPT10 fqfqf___PPT9H@&0 F (, 2 ? -O  =3Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1a High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT Top level controlHLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|EEHLT low level control5Logical aggregation Functional algorithms By HLT node`     Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    e Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Status Counters Receives commandsB8 B8HLT Tasks controlAlgorithms are treated by the ECS as hardware devices. Integrated as Device Unit (DU) DU behavior modeled with Finite State Machines Common state diagram for all algorithms Transitions mapped to Gaudi transitions x7Z Z/ZQ Z7/Q Sub-Farm Controls UI  PartitioningDifferent sub-detectors, many teams and possible configurations (operation modes) (commissioning stage). Possibility to run hierarchies in parallel. Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Dynamic allocation i ( (2 ( ( (i2    @>  Farm pool controls Due to the hierarchical ECS main control and dynamic allocation Easy to include new farms into global system Due to single sub-farm controls as framework package and base on naming convention Easy to duplicate farm control system. A-S'?-S' ConclusionsThe LHCb experiment at CERN will have an Event Filter Farm (EFF) composed of 2000 CPUs. These machines will form a pool of 50 sub-farms with 30 to 40 nodes each, running a large amount of High Level Trigger (HLT) tasks in parallel. Although these tasks are identical algorithms, they can run at the same time being configured with different parameters, such as run type (Physics, Cosmics, Test, etc), HLT rate or with different subdetectors (partitions). The HLT is the second of the two trigger levels in LHCb. Its selection algorithms reduce the incoming data rate of 1 MHz to an output rate of 2 kHz. Selected events are sent for mass storage and subsequent offline reconstruction and analysis. These trigger processes running online are based on the same software framework as the algorithms for offline analysis (Gaudi). The control of the trigger farm was developed with an industrial SCADA system (PVSS) which is used throughout the Experiment Control System (ECS). The HLT algorithms are handled by the ECS like hardware devices, for instance, high voltage channels. The integration of the HLT controls in the overall ECS, which is modeled as finite state machines, will be presented. P Pt) B/r 1$( / 00DArialNew RomanLL Ԗׯ0Ԗ"DWingdingsRomanLL Ԗׯ0Ԗ DMonotype SortsLL Ԗׯ0Ԗ$0DTimes New RomanLL Ԗׯ0Ԗ@ .  @n?" dd@  @@`` 0%St   ! 9 m  ! b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  3f3@8  ʚ;8ʚ;g4KdKd ׯ0,ppp@ <4ddddvS0L`  0___PPT10 fqfqf___PPT9H@&0 F, ( 2 ? -O  =D3Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1a High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT Top level controlHLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|EEHLT low level control5Logical aggregation Functional algorithms By HLT node`     Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    eHLT Tasks controlAlgorithms are treated by the ECS as hardware devices. Integrated as Device Unit (DU) DU behavior modeled with Finite State Machines Common state diagram for all algorithms Transitions mapped to Gaudi transitions x7Z Z/ZQ Z7/Q Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Status Counters Receives commandsB8 B8 Sub-Farm Controls UI  PartitioningSeveral sub-detectors (many teams) Different possible configurations (commissioning stage). Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Pool of sub-farms Dynamic allocation ] ( (2 (. ( (]2/    @X  Farm pool controls Due to the hierarchical ECS main control and dynamic allocation Easy to include new farms into global system Due to single sub-farm controls as framework package and base on naming convention Easy to duplicate farm control system. A-S'?-S' ConclusionsThe LHCb experiment at CERN will have an Event Filter Farm (EFF) composed of 2000 CPUs. These machines will form a pool of 50 sub-farms with 30 to 40 nodes each, running a large amount of High Level Trigger (HLT) tasks in parallel. Although these tasks are identical algorithms, they can run at the same time being configured with different parameters, such as run type (Physics, Cosmics, Test, etc), HLT rate or with different subdetectors (partitions). The HLT is the second of the two trigger levels in LHCb. Its selection algorithms reduce the incoming data rate of 1 MHz to an output rate of 2 kHz. Selected events are sent for mass storage and subsequent offline reconstruction and analysis. These trigger processes running online are based on the same software framework as the algorithms for offline analysis (Gaudi). The control of the trigger farm was developed with an industrial SCADA system (PVSS) which is used throughout the Experiment Control System (ECS). The HLT algorithms are handled by the ECS like hardware devices, for instance, high voltage channels. The integration of the HLT controls in the overall ECS, which is modeled as finite state machines, will be presented. P Pt) B/n 0 }` \ (  \r \ S $,M   $ r \ S |$, ` $ 8 ff  \YIUf  \ 603A }ff  \ 6uY A f}J  \ <x S  MCounters Refreshed every 20 s H \ 0޽h ? 33___PPT10i.ܼ+D=' = @B + 0 H(  Hx H c $$,M   $ r H S $,X{ $ XB H 0Do`&H H 0޽h ? 33___PPT10i.+D=' = @B +ri1, T41$( / 00DArialNew RomanLL Ԗׯ0Ԗ"DWingdingsRomanLL Ԗׯ0Ԗ DMonotype SortsLL Ԗׯ0Ԗ$0DTimes New RomanLL Ԗׯ0Ԗ@ .  @n?" dd@  @@`` 0%St   ! 9 m  ! b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  3f3@8  ʚ;8ʚ;g4KdKd ׯ0,ppp@ <4ddddvS0L`  0___PPT10 fqfqh___PPT9JB&0 F, ( 4 ? -O  =43Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1a High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT Top level controlHLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|EEHLT low level control5Logical aggregation Functional algorithms By HLT node`     Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    eHLT Tasks controlAlgorithms are treated by the ECS as hardware devices. Integrated as Device Unit (DU) DU behavior modeled with Finite State Machines Common state diagram for all algorithms Transitions mapped to Gaudi transitions x7Z Z/ZQ Z7/Q Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Status Counters Receives commandsB8 B8 Sub-Farm Controls UI  PartitioningSeveral sub-detectors (many teams) Different possible configurations (commissioning stage). Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Pool of sub-farms Dynamic allocation ] ( (2 (/ (]2/    @X  Farm pool controls Due to the hierarchical ECS main control and dynamic allocation Easy to include new farms into global system Due to single sub-farm controls as framework package and base on naming convention Easy to duplicate farm control system. A-S'?-S' ConclusionsThe LHCb experiment at CERN will have an Event Filter Farm (EFF) composed of 2000 CPUs. These machines will form a pool of 50 sub-farms with 30 to 40 nodes each, running a large amount of High Level Trigger (HLT) tasks in parallel. Although these tasks are identical algorithms, they can run at the same time being configured with different parameters, such as run type (Physics, Cosmics, Test, etc), HLT rate or with different subdetectors (partitions). The HLT is the second of the two trigger levels in LHCb. Its selection algorithms reduce the incoming data rate of 1 MHz to an output rate of 2 kHz. Selected events are sent for mass storage and subsequent offline reconstruction and analysis. These trigger processes running online are based on the same software framework as the algorithms for offline analysis (Gaudi). The control of the trigger farm was developed with an industrial SCADA system (PVSS) which is used throughout the Experiment Control System (ECS). The HLT algorithms are handled by the ECS like hardware devices, for instance, high voltage channels. The integration of the HLT controls in the overall ECS, which is modeled as finite state machines, will be presented. P Pt) B/ 0 H(  Hx H c $$,M   $ r H S $,X{ $ XB H 0Do`&H H 0޽h ? 33___PPT10i.+D=' = @B +r4_Y t4J\1$( / 00DArialNew RomanLL Ԗׯ0Ԗ"DWingdingsRomanLL Ԗׯ0Ԗ DMonotype SortsLL Ԗׯ0Ԗ$0DTimes New RomanLL Ԗׯ0Ԗ@ .  @n?" dd@  @@`` 0%St   ! 9 m  ! b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  3f3@8  ʚ;8ʚ;g4KdKd ׯ0,ppp@ <4ddddvS0L`  0___PPT10 fqfqh___PPT9JB&0 F, ( 4 ? -O  =X3Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1a High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT Top level controlHLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|EEHLT low level control5Logical aggregation Functional algorithms By HLT node`     Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    eHLT Tasks controlAlgorithms are treated by the ECS as hardware devices. Integrated as Device Unit (DU) DU behavior modeled with Finite State Machines Common state diagram for all algorithms Transitions mapped to Gaudi transitions x7Z Z/ZQ Z7/Q Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Status Counters Receives commandsB8 B8 Sub-Farm Controls UI  PartitioningSeveral sub-detectors (many teams) Different possible configurations (commissioning stage). Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Pool of sub-farms Dynamic allocation D ] ( (2 (. ( (]2.      @Y  Farm pool controls Due to the hierarchical ECS main control and dynamic allocation Easy to include new farms into global system Due to single sub-farm controls as framework package and base on naming convention Easy to duplicate farm control system. A-S'?-S' ConclusionsThe LHCb experiment at CERN will have an Event Filter Farm (EFF) composed of 2000 CPUs. These machines will form a pool of 50 sub-farms with 30 to 40 nodes each, running a large amount of High Level Trigger (HLT) tasks in parallel. Although these tasks are identical algorithms, they can run at the same time being configured with different parameters, such as run type (Physics, Cosmics, Test, etc), HLT rate or with different subdetectors (partitions). The HLT is the second of the two trigger levels in LHCb. Its selection algorithms reduce the incoming data rate of 1 MHz to an output rate of 2 kHz. Selected events are sent for mass storage and subsequent offline reconstruction and analysis. These trigger processes running online are based on the same software framework as the algorithms for offline analysis (Gaudi). The control of the trigger farm was developed with an industrial SCADA system (PVSS) which is used throughout the Experiment Control System (ECS). The HLT algorithms are handled by the ECS like hardware devices, for instance, high voltage channels. The integration of the HLT controls in the overall ECS, which is modeled as finite state machines, will be presented. P Pt) B/ 0 H(  Hx H c $$,>   $ r H S $,B $ XB H 0Do`&H H 0޽h ? 33___PPT10i.+D=' = @B +r\q b\\1$( / 00DArialNew RomanLL Ԗׯ0Ԗ"DWingdingsRomanLL Ԗׯ0Ԗ DMonotype SortsLL Ԗׯ0Ԗ$0DTimes New RomanLL Ԗׯ0Ԗ@ .  @n?" dd@  @@`` 0%Ht   ! 9 m  ! b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  3f3@8  ʚ;8ʚ;g4KdKd ׯ0 ppp@ <4ddddvS0L`  0___PPT10 fqfqh___PPT9JB&0 F, ( 4 ? -O  =$3Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1a High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT Top level controlHLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|EEHLT low level control5Logical aggregation Functional algorithms By HLT node`     Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    eHLT Tasks controlAlgorithms are treated by the ECS as hardware devices. Integrated as Device Unit (DU) DU behavior modeled with Finite State Machines Common state diagram for all algorithms Transitions mapped to Gaudi transitions x7Z Z/ZQ Z7/Q Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Status Counters Receives commandsB8 B8 Sub-Farm Controls UI  PartitioningSeveral sub-detectors (many teams) Different possible configurations (commissioning stage). Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Pool of sub-farms Dynamic allocation D ] ( (2 (. ( (]2.      @Y  Farm pool controls Due to the hierarchical ECS main control and dynamic allocation Easy to include new farms into global system Due to single sub-farm controls as framework package and base on naming convention Easy to duplicate farm control system. A-S'?-S' ConclusionsThe LHCb experiment at CERN will have an Event Filter Farm (EFF) composed of 2000 CPUs. These machines will form a pool of 50 sub-farms with 30 to 40 nodes each, running a large amount of High Level Trigger (HLT) tasks in parallel. Although these tasks are identical algorithms, they can run at the same time being configured with different parameters, such as run type (Physics, Cosmics, Test, etc), HLT rate or with different subdetectors (partitions). The HLT is the second of the two trigger levels in LHCb. Its selection algorithms reduce the incoming data rate of 1 MHz to an output rate of 2 kHz. Selected events are sent for mass storage and subsequent offline reconstruction and analysis. These trigger processes running online are based on the same software framework as the algorithms for offline analysis (Gaudi). The control of the trigger farm was developed with an industrial SCADA system (PVSS) which is used throughout the Experiment Control System (ECS). The HLT algorithms are handled by the ECS like hardware devices, for instance, high voltage channels. The integration of the HLT controls in the overall ECS, which is modeled as finite state machines, will be presented. P Pt) B/ 0 H(  Hx H c $$,>   $ r H S $,B $ XB H 0Do`&H H 0޽h ? 33___PPT10i.+D=' = @B + 0 `(  x  c $,M   $ r  S DV, `k  R  0 Hi vnf___PPT9H@ tFully configurable at real time P S C R Automatic control of processes for the shift operator HLT task control fully integrated into ECS Keeps Homogeneity  b  a  H  0޽h ? 33___PPT10i.3 C+D=' = @B +r:Ot1( / 00DArialNew RomanLL Ԗׯ0Ԗ`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  f3@8  "DWingdingsRomanLL Ԗׯ0Ԗ DMonotype SortsLL Ԗׯ0Ԗ$0DTimes New RomanLL Ԗׯ0Ԗ@ .  @n?" dd@  @@`` 0%Gt   ! 9 m  ! b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  3f3@8  ʚ;8ʚ;g4KdKd ׯ0 ppp@ <4ddddvS0L`  0___PPT10 fqfqt___PPT9VN&0 F8 ( 4 ? -O  =T3Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1a High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT Top level controlHLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|EEHLT low level control5Logical aggregation Functional algorithms By HLT node`     Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    eHLT Tasks controlAlgorithms are treated by the ECS as hardware devices. Integrated as Device Unit (DU) DU behavior modeled with Finite State Machines Common state diagram for all algorithms Transitions mapped to Gaudi transitions Command parameters70d 0d/0dQ 0d 0d7/O   Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Status Counters Receives commandsB8 B8 Sub-Farm Controls UI  PartitioningSeveral sub-detectors (many teams) Different possible configurations (commissioning stage). Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Pool of sub-farms Dynamic allocation D ] ( (2 (. ( (]2.      @Y  Farm pool controls Due to the hierarchical ECS main control and dynamic allocation Easy to include new farms into global system Due to single sub-farm controls as framework package and base on naming convention Easy to duplicate farm control system. A-S'?-S' Conclusions /T 0 kc0s S(   x  c $,M    r  S ,S     c $@ "`V  YERROR     c $ u"`   YREADY     c $D "` 7 k   f Start  "  LB  @ c $D W   S  "`  &  VLoad     c $ ̙"`V   [RUNNING     S  "`1 G  \ Configure       c $@ "`   [UNKNOWN   X  0GuHIu     c $| "`V 7   _ NOT_READY      LB  c $D w w V   c $ "`F w W  WReset     c $ "` a  W Stop   LB  @ c $D W LB ! @ c $D LB " c $D w w LB # c $D w w V  $ S $ "` w W&  ZUnload   d 7 @ <GxH Ix 7 V  8 c $T8 "`& W  [Recover   jb 9 BG ZHI6   jb : BGHII66   > pR < @ HGHuI6  V  = c $= "` f  w Task dies   0   H  0޽h ?_     7   9   :    <  33___PPT10i.~+D=' = @B + 0 `8(  x  c $,M   $   0 Hi |tl___PPT9NF HLT task control fully integrated into ECS Keeps Homogeneity Fully configurable at real time P S C R Automatic control of processes for the shift operator +  8*   7H  0޽h ? 33___PPT10i.3 C+D='  = @B +rcV?K1 ( / 00DArialNew RomanLL Ԗׯ0Ԗ"DWingdingsRomanLL Ԗׯ0Ԗ DMonotype SortsLL Ԗׯ0Ԗ$0DTimes New RomanLL Ԗׯ0Ԗ@ .  @n?" dd@  @@`` 0%Ft   ! 9 m  ! b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  3f3@8  ʚ;8ʚ;g4KdKd ׯ0 ppp@ <4ddddvS0L`  0___PPT10 fqfqt___PPT9VN&0 F8 ( 4 ? -O  =r3Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1a High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT Top level controlHLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|EEHLT low level control5Logical aggregation Functional algorithms By HLT node`     Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    eHLT Tasks controlAlgorithms are treated by the ECS as hardware devices. Integrated as Device Unit (DU) DU behavior modeled with Finite State Machines Common state diagram for all algorithms Transitions mapped to Gaudi transitions Command parameters70d 0d/0dQ 0d 0d7/O   Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Status Counters Receives commandsB8 B8 Sub-Farm Controls UI  PartitioningSeveral sub-detectors (many teams) Different possible configurations (commissioning stage). Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Pool of sub-farms Dynamic allocation D ] ( (2 (. ( (]2,        @Y  Farm pool controls  Due to the hierarchical ECS main control and dynamic allocation Easy to include new farms into global system Due to single sub-farm controls as framework package and base on naming convention Easy to duplicate farm control system. A-S'?-S' Conclusions / 0 H(  Hx H c $$,>   $ r H S $,t $ XB H 0Do z H H 0޽h ? 33___PPT10i.+D=' J= @B + 0  $(  $8 @P  $`Ul $ <*4A? @Pf $ 6XA?@ZB $ s *D  PPZB $ s *D  x $ c $&$,M   $ RB  $ s *Ds_ RB  $ s *DA  RB  $ s *DA  H $ 0޽h ? 33___PPT10i.+D=' J= @B +r   k1 ( / 00DArialNew RomanLL Ԗׯ0Ԗ"DWingdingsRomanLL Ԗׯ0Ԗ DMonotype SortsLL Ԗׯ0Ԗ$0DTimes New RomanLL Ԗׯ0Ԗ@ .  @n?" dd@  @@`` 0%Ft   ! 9 m  ! b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  3f3@8  ʚ;8ʚ;g4KdKd ׯ0 ppp@ <4ddddvS0L`  0___PPT10 fqfqt___PPT9VN&0 F8 ( 4 ? -O  =3Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1a High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT Top level controlHLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|EEHLT low level control5Logical aggregation Functional algorithms By HLT node`     Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    eHLT Tasks controlAlgorithms are treated by the ECS as hardware devices. Integrated as Device Unit (DU) DU behavior modeled with Finite State Machines Common state diagram for all algorithms Transitions mapped to Gaudi transitions Command parameters70d 0d/0dQ 0d 0d7/O   Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Status Counters Receives commandsB8 B8 Sub-Farm Controls UI  Partitioning*Several sub-detectors (many teams) Different possible configurations (commissioning stage). Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Pool of sub-farms Dynamic allocation Different instances of run control running in parallel (readout partitions) ] ( (2 (. (L (]2,    L    @  Farm pool controls  Due to the hierarchical ECS main control and dynamic allocation Easy to include new farms into global system Due to single sub-farm controls as framework package and base on naming convention Easy to duplicate farm control system. A-S'?-S' Conclusions / 0 H(  Hx H c $$,>   $ r H S $,t $ XB H 0Do z H H 0޽h ? 33___PPT10i.+D=' J= @B +r{0 f31 ( / 00DArialNew RomanLL Ԗׯ0Ԗ"DWingdingsRomanLL Ԗׯ0Ԗ DMonotype SortsLL Ԗׯ0Ԗ$0DTimes New RomanLL Ԗׯ0Ԗ@ .  @n?" dd@  @@`` 0%Ft   ! 9 m  ! b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  3f3@8  ʚ;8ʚ;g4KdKd ׯ0 ppp@ <4ddddvS0L`  0___PPT10 fqfqt___PPT9VN&0 F8 ( 4 ? -O  =3Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1a High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT Top level controlHLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|EEHLT low level control5Logical aggregation Functional algorithms By HLT node`     Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    eHLT Tasks controlAlgorithms are treated by the ECS as hardware devices. Integrated as Device Unit (DU) DU behavior modeled with Finite State Machines Common state diagram for all algorithms Transitions mapped to Gaudi transitions Command parameters70d 0d/0dQ 0d 0d7/O   Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Status Counters Receives commandsB8 B8 Sub-Farm Controls UI  Partitioning*Several sub-detectors (many teams) Different possible configurations (commissioning stage). Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Pool of sub-farms Dynamic allocation Different instances of run control running in parallel (readout partitions) ] ( (2 (. (L (]2,    L    @  Farm pool controls  Due to the hierarchical ECS main control and dynamic allocation Easy to include new farms into global system Due to single sub-farm controls as framework package and base on naming convention Easy to duplicate farm control system. A-S'?-S' Conclusions / 0 `=(  x  c $,M   $   0 Hi F>6___PPT9 HLT control completely defined and integrated into LHCb control system. Implemented with same toolkit (PVSS & FSM) used through the ECS. Keeps Homogeneity Fully configurable at real time Automatic control of processes for the shift operator   874H  0޽h ? 33___PPT10i.3 C+D=' J= @B +r3AT~3X1 ( / 00DArialNew RomanLL Ԗׯ0Ԗ"DWingdingsRomanLL Ԗׯ0Ԗ DMonotype SortsLL Ԗׯ0Ԗ$0DTimes New RomanLL Ԗׯ0Ԗ@ .  @n?" dd@  @@`` 8&Dt   ! 9 m  ! b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  3f3@8  ʚ;8ʚ;g4KdKd ׯ0,ppp@ <4ddddvS0L`  0___PPT10 fqfqt___PPT9VN&0 F8 ( 4 ? -O  =#3Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1aWhat do we have to control? High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT Top level controlHLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|EEHLT low level control5Logical aggregation Functional algorithms By HLT node`     Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    eHLT Tasks controlAlgorithms are treated by the ECS as hardware devices. Integrated as Device Unit (DU) DU behavior modeled with Finite State Machines Common state diagram for all algorithms Transitions mapped to Gaudi transitions Command parameters70d 0d/0dQ 0d 0d7/O   Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Status Counters Receives commandsB8 B8 Sub-Farm Controls UI  Partitioning*Several sub-detectors (many teams) Different possible configurations (commissioning stage). Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Pool of sub-farms Dynamic allocation Different instances of run control running in parallel (readout partitions) ] ( (2 (. (L (]2,    L    @  Farm pool controls  Due to the hierarchical ECS main control and dynamic allocation Easy to include new farms into global system Due to single sub-farm controls as framework package and base on naming convention Easy to duplicate farm control system. A-S'?-S' Conclusions /0  f(  r  S J,>     B  " BReadout system H  0޽h ? 33___PPT10i.3PcQ+D=' J= @B +rYyX|1 ( / 00DArialNew RomanLL Ԗׯ0Ԗ"DWingdingsRomanLL Ԗׯ0Ԗ DMonotype SortsLL Ԗׯ0Ԗ$0DTimes New RomanLL Ԗׯ0Ԗ@ .  @n?" dd@  @@`` 8&Bt   ! 9 m  ! b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  f3@8  ʚ;8ʚ;g4KdKd ׯ0,ppp@ <4ddddvS0L`  0___PPT10 fqfqt___PPT9VN&0 F8 ( 4 ? -O  =#3Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1aWhat do we have to control? High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT Top level controlHLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|EEHLT low level control5Logical aggregation Functional algorithms By HLT node`     Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    eHLT Tasks controlAlgorithms are treated by the ECS as hardware devices. Integrated as Device Unit (DU) DU behavior modeled with Finite State Machines Common state diagram for all algorithms Transitions mapped to Gaudi transitions Command parameters70d 0d/0dQ 0d 0d7/O   Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Status Counters Receives commandsB8 B8 Sub-Farm Controls UI  Partitioning*Several sub-detectors (many teams) Different possible configurations (commissioning stage). Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Pool of sub-farms Dynamic allocation Different instances of run control running in parallel (readout partitions) ] ( (2 (. (L (]2,    L    @  Farm pool controls  Due to the hierarchical ECS main control and dynamic allocation Easy to include new farms into global system Due to single sub-farm controls as framework package and base on naming convention Easy to duplicate farm control system. A-S'?-S' Conclusions /k 0 z$(  $8 @P  $`Ul $ <*4A? @Pf $ 6XA?@ZB $ s *D  PPZB $ s *D  x $ c $&$,M   $ l2 $ 6Ԕ"   H $ 0޽h ? 33___PPT10i.+D=' J= @B +r| |%1 ( / 00DArialNew RomanLL Ԗׯ0Ԗ"DWingdingsRomanLL Ԗׯ0Ԗ DMonotype SortsLL Ԗׯ0Ԗ$0DTimes New RomanLL Ԗׯ0Ԗ@ .  @n?" dd@  @@`` 8&Bt   ! 9 m  ! b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  f3@8  ʚ;8ʚ;g4KdKd ׯ0,ppp@ <4ddddvS0L`  0___PPT10 fqfqx___PPT9ZR&0 F8 (   4? -O  =33Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1aWhat do we have to control? High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT Top level controlHLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|EEHLT low level control5Logical aggregation Functional algorithms By HLT node`   ʚ;8ʚ;g4KdKd?ׯ0,ppp@ <4ddddvS0Lu? 0___PPT10 fqfqh___PPT9JB&*   Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    eHLT Tasks controlAlgorithms are treated by the ECS as hardware devices. Integrated as Device Unit (DU) DU behavior modeled with Finite State Machines Common state diagram for all algorithms Transitions mapped to Gaudi transitions Command parameters70d 0d/0dQ 0d 0d7/O   Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Status Counters Receives commandsB8 B8 Sub-Farm Controls UI Sub-farm controlHierarchical ECS main control + dynamic allocation Easy to include new farms into global system Single sub-farm controls as framework package + base on naming convention Easy to duplicate farm control system. 40d- 0dJ0d'0d0d2-J'  Partitioning*Several sub-detectors (many teams) Different possible configurations (commissioning stage). Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Pool of sub-farms Dynamic allocation Different instances of run control running in parallel (readout partitions) ] ( (2 (. (L (]2,    L    @  Farm pool controls  Conclusions /m 0 |@L(  @x @ c $t-$,M   $ r @ S L.$,X6  $ 12 @ S ~/$̙1D[?"6@`NNN?N{ n  EECS&( x2 12 @ S ~D4$̙1D[?"6@`NNN?N   ETFC&( x2 12 @ S ~t1$̙1D[?"6@`NNN?N   EHLT&( x2  @ TD[?"0@NNN?Nn   @ TD[?"0@NNN?Nn  12 @ S ~3$̙1D[?"6@`NNN?N   EDAQ&( x2  @@ TD[?"0@NNN?Nn  P2 @ S ~@$̙1D[?"6@`NNN?N   dSubFarmN& ( x2  62 @ S ~|E$̙1D[?"6@`NNN?NM <@ JSubFarm2& ( x2  62 @ S ~I$̙1D[?"6@`NNN?N  JSubFarm1& ( x2   @ T1D[?"0@NNN?N   @@ T1D[?"0@NNN?N ,M  @@ T1D[?"0@NNN?N  | @ 6UHO$h XO & v @ 0R$ =  & H @ 0޽h ?o @@@ @@@ @@@ @@@ @@@@@@ 33___PPT10i.P+D=' J= @B +ra? =1 ( / 00DArialNew RomanLL Ԗׯ0Ԗ"DWingdingsRomanLL Ԗׯ0Ԗ DMonotype SortsLL Ԗׯ0Ԗ$0DTimes New RomanLL Ԗׯ0Ԗ@ .  @n?" dd@  @@`` 8&Bt   ! 9 m  ! b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  f3@8  ʚ;8ʚ;g4KdKd ׯ0,ppp@ <4ddddvS0L`  0___PPT10 fqfqx___PPT9ZR&0 F8 (   4? -O  =33Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1aWhat do we have to control? High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT Top level controlHLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|EEHLT low level control5Logical aggregation Functional algorithms By HLT node`     Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    eHLT Tasks controlAlgorithms are treated by the ECS as hardware devices. Integrated as Device Unit (DU) DU behavior modeled with Finite State Machines Common state diagram for all algorithms Transitions mapped to Gaudi transitions Command parameters70d 0d/0dQ 0d 0d7/O   Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Status Counters Receives commandsB8 B8 Sub-Farm Controls UI Sub-farm controlHierarchical ECS main control + dynamic allocation Easy to include new farms into global system Single sub-farm controls as framework package + base on naming convention Easy to duplicate farm control system. 40d- 0dJ0d'0d0d2-J'  Partitioning*Several sub-detectors (many teams) Different possible configurations (commissioning stage). Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Pool of sub-farms Dynamic allocation Different instances of run control running in parallel (readout partitions) ] ( (2 (. (L (]2,    L    @  Farm pool controls  Conclusions /r1 ( / 00DArialNew RomanLL Ԗׯ0Ԗ"DWingdingsRomanLL Ԗׯ0Ԗ DMonotype SortsLL Ԗׯ0Ԗ$0DTimes New RomanLL Ԗׯ0Ԗ@ .  @n?" dd@  @@`` 8&Bt   ! 9 m  ! b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  f3@8  ʚ;8ʚ;g4KdKd ׯ0,ppp@ <4ddddvS0L`  0___PPT10 fqfqx___PPT9ZR&0 F8 (   4? -O  =33Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1aWhat do we have to control? High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT Top level controlHLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|EEHLT low level control5Logical aggregation Functional algorithms By HLT node`     Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    eHLT Tasks controlAlgorithms are treated by the ECS as hardware devices. Integrated as Device Unit (DU) DU behavior modeled with Finite State Machines Common state diagram for all algorithms Transitions mapped to Gaudi transitions Command parameters70d 0d/0dQ 0d 0d7/O   Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Status Counters Receives commandsB8 B8 Sub-Farm Controls UI Sub-farm controlHierarchical ECS main control + dynamic allocation Easy to include new farms into global system Single sub-farm controls as framework package + base on naming convention Easy to duplicate farm control system. 40d- 0dJ0d'0d0d2-J'  Partitioning*Several sub-detectors (many teams) Different possible configurations (commissioning stage). Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Pool of sub-farms Dynamic allocation Different instances of run control running in parallel (readout partitions) ] ( (2 (. (L (]2,    L    @  Farm pool controls  Conclusions /r1 ( / 00DArialNew RomanLL Ԗׯ0Ԗ"DWingdingsRomanLL Ԗׯ0Ԗ DMonotype SortsLL Ԗׯ0Ԗ$0DTimes New RomanLL Ԗׯ0Ԗ@ .  @n?" dd@  @@`` 8&At   ! 9 m  ! b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  f3@8  ʚ;8ʚ;g4KdKd ׯ0,ppp@ <4ddddvS0L`  0___PPT10 fqfqx___PPT9ZR&0 F8 (   4? -O  ==3Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1aWhat do we have to control? High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT Top level controlHLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|EEHLT low level control5Logical aggregation Functional algorithms By HLT node`     Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    eHLT Tasks controlAlgorithms are treated by the ECS as hardware devices. Integrated as Device Unit (DU) DU behavior modeled with Finite State Machines Common state diagram for all algorithms Transitions mapped to Gaudi transitions Command parameters70d 0d/0dQ 0d 0d7/O   Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Algorithm status Counters Receives commandsB8 B8 Sub-Farm Controls UI Sub-farm controlHierarchical ECS main control + dynamic allocation Easy to include new farms into global system Single sub-farm controls as framework package + base on naming convention Easy to duplicate farm control system. 40d- 0dJ0d'0d0d2-J'  Partitioning*Several sub-detectors (many teams) Different possible configurations (commissioning stage). Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Pool of sub-farms Dynamic allocation Different instances of run control running in parallel (readout partitions) ] ( (2 (. (L (]2,    L    @  Farm pool controls  Conclusions / 0  D@(  Dx D c $,M    r D S `,Hi   \ D c 4B Ath_dfdU[ I ^2 D 6f ,   D 6f1 !  8HLT task  wL X V  D#  , f2 D 6fX V  D BLf   3ECS^ D 0D  iNPH@___PPT9" RControls based on HLT naming convention Sub-farm (row and index) UTGID (task name)8(+ (+H D 0޽h ? 33___PPT10i.Њv+D=' J= @B + 0 ` \H(  \r \ S $,M   $ r \ S |$, ` $ 8 ff  \YIUf  \ 603A }ff  \ 6uY A f}JH \ 0޽h ? 33___PPT10i.ܼ+D=' J= @B +r7> B1 ( / 00DArialNew RomanLL Ԗׯ0Ԗ"DWingdingsRomanLL Ԗׯ0Ԗ DMonotype SortsLL Ԗׯ0Ԗ$0DTimes New RomanLL Ԗׯ0Ԗ@ .  @n?" dd@  @@`` 8&Bt   ! 9 m  ! b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  f3@8  ʚ;8ʚ;g4KdKd ׯ0,ppp@ <4ddddvS0L`  0___PPT10 fqfqx___PPT9ZR&0 F8 (   4? -O  ==3Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1aWhat do we have to control? High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT Top level controlHLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|EEHLT low level control5Logical aggregation Functional algorithms By HLT node`     Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    eHLT Tasks controlAlgorithms are treated by the ECS as hardware devices. Integrated as Device Unit (DU) DU behavior modeled with Finite State Machines Common state diagram for all algorithms Transitions mapped to Gaudi transitions Command parameters70d 0d/0dQ 0d 0d7/O   Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Algorithm status Counters Receives commandsB8 B8 Sub-Farm Controls UI Sub-farm controlHierarchical ECS main control + dynamic allocation Easy to include new farms into global system Single sub-farm controls as framework package + base on naming convention Easy to duplicate farm control system. 40d- 0dJ0d'0d0d2-J'  Partitioning*Several sub-detectors (many teams) Different possible configurations (commissioning stage). Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Pool of sub-farms Dynamic allocation Different instances of run control running in parallel (readout partitions) ] ( (2 (. (L (]2,    L    @  Farm pool controls  Conclusions /) 0 ((P' &(  r  S L,q4   x a c $0,M    B  vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower\ B  vEF$QVUVW ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower0B  vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower_RR B  vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitowerl B  vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitowero bb B  vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower |   Bж1?"0@NNN?N0J  Bж1?"0@NNN?N0_  Bж1?"0@NNN?N0Z  TжG0*H3I{1?"0@NNN?N0o   Bж1?"0@NNN?N0j B  vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitowerl B  vEF$QVUVW ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower0B  vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitoweroPP B  vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower| B  vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower `` B  vEF$QVUVW3 ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitower    Bж1?"0@NNN?N0H`  Bж1?"0@NNN?N0`o  Bж1?"0@NNN?N0X`  TжG0*H3I{1?"0@NNN?N0`   Bж1?"0@NNN?N0`h B  vEF$QVUVW ##0*`T`T-`TK>;`TJ)`T`T-r9`Tr9r9r9BDr9`T} 4 4 } } }44}}}:4:4}}:@ `@@@@@ 0*`T`T-`TK>;`TJ)`T`T- XSxitowert   `ж?"0@NNN?N%: F& (( }$  Bж1?"0@NNN?N   Bж1?"0@NNN?N c  6D7Ho"  3HLT 22  B Ơ1"  Ws  ,2  B1"  :  ,2  Bݠ1"  :  ,2  BLΠ1"  Ws  ,2  B1"  Ws4  ,2  B1"  :4  ,2  B覠1" Q :m  ,2  B1" Q Wsm  ,  BfJo"  F:k : * Nowadays  H  0޽h ?  33___PPT10i.3Б$+D=' J= @B +rBcB1 ( / 00DArialNew RomanLL Ԗׯ0Ԗ"DWingdingsRomanLL Ԗׯ0Ԗ DMonotype SortsLL Ԗׯ0Ԗ$0DTimes New RomanLL Ԗׯ0Ԗ@ .  @n?" dd@  @@`` 8&Bt   ! 9 m  ! b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  f3@8  ʚ;8ʚ;g4KdKd ׯ0,ppp@ <4ddddvS0L`  0___PPT10 fqfqx___PPT9ZR&0 F8 (   4? -O  ==3Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1aWhat do we have to control? High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT Top level controlHLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|EEHLT low level control5Logical aggregation Functional algorithms By HLT node`     Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    eHLT Tasks controlAlgorithms are treated by the ECS as hardware devices. Integrated as Device Unit (DU) DU behavior modeled with Finite State Machines Common state diagram for all algorithms Transitions mapped to Gaudi transitions Command parameters70d 0d/0dQ 0d 0d7/O   Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Algorithm status Counters Receives commandsB8 B8 Sub-Farm Controls UI Sub-farm controlHierarchical ECS main control + dynamic allocation Easy to include new farms into global system Single sub-farm controls as framework package + base on naming convention Easy to duplicate farm control system. 40d- 0dJ0d'0d0d2-J'  Partitioning*Several sub-detectors (many teams) Different possible configurations (commissioning stage). Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Pool of sub-farms Dynamic allocation Different instances of run control running in parallel (readout partitions) ] ( (2 (. (L (]2,    L    @  Farm pool controls  Conclusions /rͮ1 ( / 00DArialNew RomanLL Ԗׯ0Ԗ"DWingdingsRomanLL Ԗׯ0Ԗ DMo F4 (  4? -O  =)3Conotype SortsLL Ԗׯ0Ԗ$0DTimes New RomanLL Ԗׯ0Ԗ@ .  @n?" dd@  @@`` 8&Bt   ! 9 m  ! b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  f3@8  ʚ;8ʚ;g4KdKd ׯ0,ppp@ <4ddddvS0L`  0___PPT10 fqfqx___PPT9ZR&0 F8 (   4? -O  ==3Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1aWhat do we have to control? High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT Top level controlHLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|EEHLT low level control5Logical aggregation Functional algorithms By HLT node`     Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    eHLT Tasks controlAlgorithms are treated by the ECS as hardware devices. Integrated as Device Unit (DU) DU behavior modeled with Finite State Machines Common state diagram for all algorithms Transitions mapped to Gaudi transitions Command parameters70d 0d/0dQ 0d 0d7/O   Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Algorithm status Counters Receives commandsB8 B8 Sub-Farm Control GUI Sub-farm controlHierarchical ECS main control + dynamic allocation Easy to include new farms into global system Single sub-farm controls as framework package + base on naming convention Easy to duplicate farm control system. 40d- 0dJ0d'0d0d2-J'  Partitioning*Several sub-detectors (many teams) Different possible configurations (commissioning stage). Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Pool of sub-farms Dynamic allocation Different instances of run control running in parallel (readout partitions) ] ( (2 (. (L (]2,    L    @  Farm pool controls  Conclusions / 0 ` \H(  \r \ S $,M   $ r \ S |$, ` $ 8 ff  \YIUf  \ 603A }ff  \ 6uY A f}JH \ 0޽h ? 33___PPT10i.ܼ+D=' J= @B +r ݮ1 ( / 00DArialNew RomanLL Ԗׯ0Ԗ"DWingdingsRomanLL Ԗׯ0Ԗ DMonotype SortsLL Ԗׯ0Ԗ$0DTimes New RomanLL Ԗׯ0Ԗ@ .  @n?" dd@  @@`` 8&Bt   ! 9 m  ! b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  f3@8  ʚ;8ʚ;g4KdKd ׯ0,ppp@ <4ddddvS0L`  0___PPT10 fqfqx___PPT9ZR&0 F8 (   4? -O  ==3Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1aWhat do we have to control? High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT Top level controlHLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|EEHLT low level control5Logical aggregation Functional algorithms By HLT node`     Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    eHLT Tasks controlAlgorithms are treated by the ECS as hardware devices. Integrated as Device Unit (DU) DU behavior modeled with Finite State Machines Common state diagram for all algorithms Transitions mapped to Gaudi transitions Command parameters70d 0d/0dQ 0d 0d7/O   Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Algorithm status Counters Receives commandsB8 B8 Sub-Farm Control GUI Sub-farm controlHierarchical ECS main control + dynamic allocation Easy to include new farms into global system Single sub-farm controls as framework package + base on naming convention Easy to duplicate farm control system. 40d- 0dJ0d'0d0d2-J'  Partitioning*Several sub-detectors (many teams) Different possible configurations (commissioning stage). Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Pool of sub-farms Dynamic allocation Different instances of run control running in parallel (readout partitions) ] ( (2 (. (L (]2,    L    @  Farm pool controls  Conclusions / 0 ` \H(  \r \ S $,M   $ r \ S |$, ` $ 8 ff  \YIf  \ 603A }ff  \ 6uY A f}JH \ 0޽h ? 33___PPT10i.ܼ+D=' J= @B +r w1 ( / 00DArialNew RomanLL Ԗׯ0Ԗ"DWingdingsRomanLL Ԗׯ0Ԗ DMonotype SortsLL Ԗׯ0Ԗ$0DTimes New RomanLL Ԗׯ0Ԗ@ .  @n?" dd@  @@`` 8&Bt   ! 9 m  ! b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  f3@8  ʚ;8ʚ;g4KdKd ׯ0,ppp@ <4ddddvS0L`  0___PPT10 fqfqx___PPT9ZR&0 F8 (   4? -O  ==3Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1aWhat do we have to control? High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT Top level controlHLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|EEHLT low level control5Logical aggregation Functional algorithms By HLT node`     Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    eHLT Tasks controlAlgorithms are treated by the ECS as hardware devices. Integrated as Device Unit (DU) DU behavior modeled with Finite State Machines Common state diagram for all algorithms Transitions mapped to Gaudi transitions Command parameters70d 0d/0dQ 0d 0d7/O   Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Algorithm status Counters Receives commandsB8 B8 Sub-Farm Control GUI Sub-farm controlHierarchical ECS main control + dynamic allocation Easy to include new farms into global system Single sub-farm controls as framework package + base on naming convention Easy to duplicate farm control system. 40d- 0dJ0d'0d0d2-J'  Partitioning*Several sub-detectors (many teams) Different possible configurations (commissioning stage). Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Pool of sub-farms Dynamic allocation Different instances of run control running in parallel (readout partitions) ] ( (2 (. (L (]2,    L    @  Farm pool controls  Conclusions /r 1 ( ntrolling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1aWhat do we have to control? High Level Trigger CPU Farm  0                           ! " # $ % & ' ( ) * + , - . / 0 1 2 3 4 5 6 7 8 9 : ; < = > ? @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z [ \ ] ^ _ ` a b c d e f g h i j k l m n o p q r s t u v w x y z | } ~  {                           ! " # $ % & ' ( ) * + , - . / 0 1 2 3 4 5 6 7 8 9 : ; < = > ? @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z [ \ ] ^ _ ` a b c d e f g h i j k l m n o p q r s t u v w x y z { | }  ~  Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT Top level controlHLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|EEHLT low level control5Logical aggregation Functional algorithms By HLT node`     Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    eHLT Tasks controlAlgorithms are treated by the ECS as hardware devices. Integrated as Device Unit (DU) DU behavior modeled with Finite State Machines Common state diagram for all algorithms Transitions mapped to Gaudi transitions Command parameters7  / Q  7/O   Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Algorithm status Counters Receives commandsB8 B8 Sub-Farm Control GUI Sub-farm controlHierarchical ECS main control + dynamic allocation Easy to include new farms into global system Single sub-farm controls as framework package + base on naming convention Easy to duplicate farm control system. 4 - J '  2-J'  Partitioning*Several sub-detectors (many teams) Different possible configurations (commissioning stage). Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Pool of sub-farms Dynamic allocation Different instances of run control running in parallel (readout partitions) ] ( (2 (. (L (]2,    L    @  Farm pool controls  Conclusions / 0 QI@(  p  HFXͤf&A?BTx  c $M,M   M   6\zMkz ,$0 ~<High Level Trigger Farm Second level of trigger 1MHz to 2kHz&%!="  BԔ?"`Q  I ,$@0"  BԔ?"` ,$@0)  68 o"    cRTSA2-3: A 40MHz Trigger-Free Readout Architecture for the LHCb Experiment at CERNdd LH  0޽h ? 33- % ___PPT10 .3PcQ+?m}D'  = @B D\' = @BA?%,( < +O%,( < +D' =%(Du' =%(D' =4@BBBB%(D' =1:Bvisible*o3>+B#style.visibility<*%(D' =A@BBBB0B%(D' =1:Bvisible*o3>+B#style.visibility<*%(D' =%(Df' =%(D' =4@BBBB%(D' =1:Bvisible*o3>+B#style.visibility<*%(D' =4@BBBB%(D' =1:Bhidden*o3>+B#style.visibility<*%(+8+0+0 +r :  qI 1 ( / 00DArialNew RomanLLu?Ԗׯ0Ԗ"DWingdingsRomanLLu?Ԗׯ0Ԗ DMonotype SortsLLu?Ԗׯ0Ԗ$0DTimes New RomanLLu?Ԗׯ0Ԗ@ .  @n?" dd@  @@`` 8&Ct   ! 9 m  ! b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  f3@8  ʚ;8ʚ;g4KdKd?ׯ0,ppp@ <4ddddvS0Lu? 0___PPT10 fqfqh___PPT9JB&* F4 (  4? -O  =)3Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1aWhat do we have to control? High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT Top level controlHLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|EEHLT low level control5Logical aggregation Functional algorithms By HLT node`     Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    eHLT Tasks controlAlgorithms are treated by the ECS as hardware devices. Integrated as Device Unit (DU) DU behavior modeled with Finite State Machines Common state diagram for all algorithms Transitions mapped to Gaudi transitions Command parameters7  / Q  7/O   Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Algorithm status Counters Receives commandsB8 B8 Sub-Farm Control GUI Sub-farm controlHierarchical ECS main control + dynamic allocation Easy to include new farms into global system Single sub-farm controls as framework package + base on naming convention Easy to duplicate farm control system. 4 - J '  2-J'  Partitioning*Several sub-detectors (many teams) Different possible configurations (commissioning stage). Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Pool of sub-farms Dynamic allocation Different instances of run control running in parallel (readout partitions) ] ( (2 (. (L (]2,    L    @  Farm pool controls  Conclusions /z 0 e]@(  p  HFXͤf&A?uk x  c $M,M   M ,  6\zMkz ,$0 >High Level Trigger Farm Second level of trigger 1MHz to 2kHz8 '! '"  BԔ?"` #  ,$D0"  BԔ?"` ,$@0)  6qo" U z O cRTSA2-3: A 40MHz Trigger-Free Readout Architecture for the LHCb Experiment at CERNdd LH  0޽h ? 33___PPT10.3PcQ+bD' `= @B D' = @BA?%,( < +O%,( < +D4' =%(D' =%(D' =4@BBBB%(D' =1:Bvisible*o3>+B#style.visibility<*%(D' =%(D' =%(D+' =4@BBBB%()?)?D' =.G7 BBBBBYM 2.77778E-6 -1.11111E-6 L 0.11371 0.05324 *3>*B ppt_xB ppt_y=@0BBAApBBh=B<<*D8' =A@BBBB0B%()?)?D' =.G7 BBBBBYM -8.33333E-7 -1.48148E-6 L 0.10625 0.0419 *3>*B ppt_xB ppt_y=@0BBAApBBY=B<<*D-' =4@BBBB%()?)?D' =.I7 BBBBB[M -5.55556E-7 -7.40741E-7 L 0.11059 0.05185 *3>*B ppt_xB ppt_y=@0BBAApBB""b=Bb<<*D' =A@BBBB0B%(D' =1:Bvisible*o3>+B#style.visibility<*%(D' =%(Df' =%(D' =4@BBBB%(D' =1:Bvisible*o3>+B#style.visibility<*%(D' =4@BBBB%(D' =1:Bhidden*o3>+B#style.visibility<*%(+p+0+0 ++0+0 +rI qj I 1 ( / 00DArialNew RomanLLu?Ԗׯ0Ԗ"DWingdingsRomanLLu?Ԗׯ0Ԗ DMonotype SortsLLu?Ԗׯ0Ԗ$0DTimes New RomanLLu?Ԗׯ0Ԗ@ .  @n?" dd@  @@`` 8&Ct   ! 9 m  ! b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  f3@8  ʚ;8ʚ;g4KdKd?ׯ0,ppp@ <4ddddvS0Lu? 0___PPT10 fqfqh___PPT9JB&* F4 (  4? -O  =)3Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1aWhat do we have to control? High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT Top level controlHLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|EEHLT low level control5Logical aggregation Functional algorithms By HLT node`     Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    eHLT Tasks controlAlgorithms are treated by the ECS as hardware devices. Integrated as Device Unit (DU) DU behavior modeled with Finite State Machines Common state diagram for all algorithms Transitions mapped to Gaudi transitions Command parameters7  / Q  7/O   Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Algorithm status Counters Receives commandsB8 B8 Sub-Farm Control GUI Sub-farm controlHierarchical ECS main control + dynamic allocation Easy to include new farms into global system Single sub-farm controls as framework package + base on naming convention Easy to duplicate farm control system. 4 - J '  2-J'  Partitioning*Several sub-detectors (many teams) Different possible configurations (commissioning stage). Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Pool of sub-farms Dynamic allocation Different instances of run control running in parallel (readout partitions) ] ( (2 (. (L (]2,    L    @  Farm pool controls  Conclusions /| 0 e]@(  p  HFXͤf&A?uk x  c $M,M   M ,  6\zMkz ,$0 >High Level Trigger Farm Second level of trigger 1MHz to 2kHz8 '! '"  BԔ?"` #  ,$D0"  BԔ?"`7 ,$@0)  6qo" U z O cRTSA2-3: A 40MHz Trigger-Free Readout Architecture for the LHCb Experiment at CERNdd LH  0޽h ? 33___PPT10.3PcQ+D' `= @B D' = @BA?%,( < +O%,( < +D4' =%(D' =%(D' =4@BBBB%(D' =1:Bvisible*o3>+B#style.visibility<*%(D' =%(D' =%(D+' =4@BBBB%()?)?D' =.G7 BBBBBYM 2.77778E-6 -1.11111E-6 L 0.11371 0.05324 *3>*B ppt_xB ppt_y=@0BBAApBBh=B<<*D:' =A@BBBB0B%()?)?D' =.I7 BBBBB[M -8.33333E-7 -1.48148E-6 L 0.12101 0.03542 *3>*B ppt_xB ppt_y=@0BBAApBBwww=BW<<*D-' =4@BBBB%()?)?D' =.I7 BBBBB[M -5.55556E-7 -7.40741E-7 L 0.11059 0.05185 *3>*B ppt_xB ppt_y=@0BBAApBB""b=Bb<<*D' =A@BBBB0B%(D' =1:Bvisible*o3>+B#style.visibility<*%(D' =%(Df' =%(D' =4@BBBB%(D' =1:Bvisible*o3>+B#style.visibility<*%(D' =4@BBBB%(D' =1:Bhidden*o3>+B#style.visibility<*%(+p+0+0 ++0+0 +r/   w 1 ( / 00DArialNew RomanLLu?Ԗׯ0Ԗ"DWingdingsRomanLLu?Ԗׯ0Ԗ DMonotype SortsLLu?Ԗׯ0Ԗ$0DTim  es New RomanLLu?Ԗׯ0Ԗ@ .  @n?" dd@  @@`` 8&Ct   ! 9 m  ! b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  f3@8  ʚ;8ʚ;g4KdKd?ׯ0,ppp@ <4ddddvS0Lu? 0___PPT10 fqfqh___PPT9JB&* F4 (  4? -O  =)3Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1aWhat do we have to control? High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT Top level controlHLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|EEHLT low level control5Logical aggregation Functional algorithms By HLT node`     Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    eHLT Tasks controlAlgorithms are treated by the ECS as hardware devices. Integrated as Device Unit (DU) DU behavior modeled with Finite State Machines Common state diagram for all algorithms Transitions mapped to Gaudi transitions Command parameters7  / Q  7/O   Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Algorithm status Counters Receives commandsB8 B8 Sub-Farm Control GUI Sub-farm controlHierarchical ECS main control + dynamic allocation Easy to include new farms into global system Single sub-farm controls as framework package + base on naming convention Easy to duplicate farm control system. 4 - J '  2-J'  Partitioning*Several sub-detectors (many teams) Different possible configurations (commissioning stage). Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Pool of sub-farms Dynamic allocation Different instances of run control running in parallel (readout partitions) ] ( (2 (. (L (]2,    L    @  Farm pool controls  Conclusions / 0 zr@ (  p  HFXͤf&A?uk x  c $M,M   M A  6\zMkz ,$0 SHigh Level Trigger Farm Second level of trigger input rate 1MHz output rate 2kHz8 <! <"  BԔ?"` #  ,$D0"  BԔ?"`7 ,$@0)  6qo" U z O cRTSA2-3: A 40MHz Trigger-Free Readout Architecture for the LHCb Experiment at CERNdd LH  0޽h ? 33___PPT10.3PcQ+D' `= @B D' = @BA?%,( < +O%,( < +D4' =%(D' =%(D' =4@BBBB%(D' =1:Bvisible*o3>+B#style.visibility<*%(D' =%(D' =%(D+' =4@BBBB%()?)?D' =.G7 BBBBBYM 2.77778E-6 -1.11111E-6 L 0.11371 0.05324 *3>*B ppt_xB ppt_y=@0BBAApBBh=B<<*D:' =A@BBBB0B%()?)?D' =.I7 BBBBB[M -8.33333E-7 -1.48148E-6 L 0.13073 0.02894 *3>*B ppt_xB ppt_y=@0BBAApBB[=B$k<<*D-' =4@BBBB%()?)?D' =.I7 BBBBB[M -5.55556E-7 -7.40741E-7 L 0.11059 0.05185 *3>*B ppt_xB ppt_y=@0BBAApBB""b=Bb<<*D' =A@BBBB0B%(D' =1:Bvisible*o3>+B#style.visibility<*%(D' =%(Df' =%(D' =4@BBBB%(D' =1:Bvisible*o3>+B#style.visibility<*%(D' =4@BBBB%(D' =1:Bhidden*o3>+B#style.visibility<*%(+p+0+0 ++0+0 +r w   1 ( / 00DArialNew RomanLLu?Ԗׯ0Ԗ"DWingdingsRomanLLu?Ԗׯ0Ԗ DMonotype SortsLLu?Ԗׯ0Ԗ$0DTimes New RomanLLu?Ԗׯ0Ԗ@ .  @n?" dd@  @@`` 8&Ct   ! 9 m  ! b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  f3@8  ʚ;8ʚ;g4KdKd?ׯ0,ppp@ <4ddddvS0Lu? 0___PPT10 fqfqh___PPT9JB&* F4 (  4? -O  =)3Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1aWhat do we have to control? High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT Top level controlHLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|EEHLT low level control5Logical aggregation Functional algorithms By HLT node`     Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    eHLT Tasks controlAlgorithms are treated by the ECS as hardware devices. Integrated as Device Unit (DU) DU behavior modeled with Finite State Machines Common state diagram for all algorithms Transitions mapped to Gaudi transitions Command parameters7  / Q  7/O   Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Algorithm status Counters Receives commandsB8 B8 Sub-Farm Control GUI Sub-farm controlHierarchical ECS main control + dynamic allocation Easy to include new farms into global system Single sub-farm controls as framework package + base on naming convention Easy to duplicate farm control system. 4 - J '  2-J'  Partitioning*Several sub-detectors (many teams) Different possible configurations (commissioning stage). Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Pool of sub-farms Dynamic allocation Different instances of run control running in parallel (readout partitions) ] ( (2 (. (L (]2,    L    @  Farm pool controls  Conclusions / 0 |t@ (  p  HFXͤf&A?uk x  c $M,M   M C  6\zMkz ,$0 UHigh Level Trigger Farm Second level of trigger input rate: 1MHz output rate: 2kHz8 >! >"  BԔ?"` #  ,$D0"  BԔ?"`7 ,$@0)  6qo" U z O cRTSA2-3: A 40MHz Trigger-Free Readout Architecture for the LHCb Experiment at CERNdd LH  0޽h ? 33___PPT10.3PcQ+D' `= @B D' = @BA?%,( < +O%,( < +D4' =%(D' =%(D' =4@BBBB%(D' =1:Bvisible*o3>+B#style.visibility<*%(D' =%(D' =%(D+' =4@BBBB%()?)?D' =.G7 BBBBBYM 2.77778E-6 -1.11111E-6 L 0.11371 0.05324 *3>*B ppt_xB ppt_y=@0BBAApBBh=B<<*D:' =A@BBBB0B%()?)?D' =.I7 BBBBB[M -8.33333E-7 -1.48148E-6 L 0.13073 0.02894 *3>*B ppt_xB ppt_y=@0BBAApBB[=B$k<<*D-' =4@BBBB%()?)?D' =.I7 BBBBB[M -5.55556E-7 -7.40741E-7 L 0.11059 0.05185 *3>*B ppt_xB ppt_y=@0BBAApBB""b=Bb<<*D' =A@BBBB0B%(D' =1:Bvisible*o3>+B#style.visibility<*%(D' =%(Df' =%(D' =4@BBBB%(D' =1:Bvisible*o3>+B#style.visibility<*%(D' =4@BBBB%(D' =1:Bhidden*o3>+B#style.visibility<*%(+p+0+0 ++0+0 +rL  ( ' 1 ( / 00DArialNew RomanLLu?Ԗׯ0Ԗ"DWingdingsRomanLLu?Ԗׯ0Ԗ DMonotype SortsLLu?Ԗׯ0Ԗ$0DTimes New RomanLLu?Ԗׯ0Ԗ@ .  @n?" dd@  @@`` 8&Ct   ! 9 m  ! b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  f3@8  ʚ;8ʚ;g4KdKd?ׯ0,ppp@ <4ddddvS0Lu? 0___PPT10 fqfqh___PPT9JB&* F4 (  4? -O  =)3Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1aWhat do we have to control? High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT Top level controlHLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|EEHLT low level control5Logical aggregation Functional algorithms By HLT node`     Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    eHLT Tasks controlAlgorithms are treated by the ECS as hardware devices. Integrated as Device Unit (DU) DU behavior modeled with Finite State Machines Common state diagram for all algorithms Transitions mapped to Gaudi transitions Command parameters7  / Q  7/O   Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Algorithm status Counters Receives commandsB8 B8 Sub-Farm Control GUI Sub-farm controlHierarchical ECS main control + dynamic allocation Easy to include new farms into global system Single sub-farm controls as framework package + base on naming convention Easy to duplicate farm control system. 4 - J '  2-J'  Partitioning*Several sub-detectors (many teams) Different possible configurations (commissioning stage). Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Pool of sub-farms Dynamic allocation Different instances of run control running in parallel (readout partitions) ] ( (2 (. (L (]2,    L    @  Farm pool controls  Conclusions /r' ' H 1 ( / 00DArialNew RomanLLu?Ԗׯ0Ԗ"DWingdingsRomanLLu?Ԗׯ0Ԗ DMonotype SortsLLu?Ԗׯ0Ԗ$0DTimes New RomanLLu?Ԗׯ0Ԗ@ .  @n?" dd@  @@`` 8&Bt   ! 9 m  ! b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  f3@8  ʚ;8ʚ;g4KdKd?ׯ0,ppp@ <4ddddvS0Lu? 0___PPT10 fqfqh___PPT9JB&* F4 (  4? -O  =)3Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1aWhat do we have to control? High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT Top level controlHLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|EEHLT low level control5Logical aggregation Functional algorithms By HLT node`     Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    eHLT Tasks controlAlgorithms are treated by the ECS as hardware devices. Integrated as Device Unit (DU) DU behavior modeled with Finite State Machines Common state diagram for all algorithms Transitions mapped to Gaudi transitions Command parameters7  / Q  7/O   Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Algorithm status Counters Receives commandsB8 B8 Sub-Farm Control GUI Sub-farm controlHierarchical ECS main control + dynamic allocation Easy to include new farms into global system Single sub-farm controls as framework package + base on naming convention Easy to duplicate farm control system. 4 - J '  2-J'  Partitioning*Several sub-detectors (many teams) Different possible configurations (commissioning stage). Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Pool of sub-farms Dynamic allocation Different instances of run control running in parallel (readout partitions) ] ( (2 (. (L (]2,    L    @  Farm pool controls  Conclusions / 0 ~v@(  p  HFXͤf&A?uk x  c $M,M   M E  6\zMkz ,$0 UHigh Level Trigger Farm Second level of trigger input rate: 1MHz output rate: 2kHz: >! >"  BԔ?"` #  ,$D0"  BԔ?"`7 ,$@0)  6qo" U z O cRTSA2-3: A 40MHz Trigger-Free Readout Architecture for the LHCb Experiment at CERNdd LH  0޽h ? 33___PPT10.3PcQ+D' `= @B D' = @BA?%,( < +O%,( < +D4' =%(D' =%(D' =4@BBBB%(D' =1:Bvisible*o3>+B#style.visibility<*%(D' =%(D' =%(D+' =4@BBBB%()?)?D' =.G7 BBBBBYM 2.77778E-6 -1.11111E-6 L 0.11371 0.05324 *3>*B ppt_xB ppt_y=@0BBAApBBh=B<<*D:' =A@BBBB0B%()?)?D' =.I7 BBBBB[M -8.33333E-7 -1.48148E-6 L 0.13073 0.02894 *3>*B ppt_xB ppt_y=@0BBAApBB[=B$k<<*D-' =4@BBBB%()?)?D' =.I7 BBBBB[M -5.55556E-7 -7.40741E-7 L 0.11059 0.05185 *3>*B ppt_xB ppt_y=@0BBAApBB""b=Bb<<*D' =A@BBBB0B%(D' =1:Bvisible*o3>+B#style.visibility<*%(D' =%(Df' =%(D' =4@BBBB%(D' =1:Bvisible*o3>+B#style.visibility<*%(D' =4@BBBB%(D' =1:Bhidden*o3>+B#style.visibility<*%(+p+0+0 ++0+0 +0  (  r  S M,> M H  0޽h ? 33___PPT10i.3PcQ+D=' = @B +rH i @ H K 1 ( / 00DArialNew RomanLLu?Ԗׯ0Ԗ"DWingdingsRomanLLu?Ԗׯ0Ԗ DMonotype SortsLLu?Ԗׯ0Ԗ$0DTimes New RomanLLu?Ԗׯ0Ԗ@ .  @n?" dd@  @@`` 8&Bt   ! 9 m  ! b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  f3@8  ʚ;8ʚ;g4KdKd?ׯ0,ppp@ <4ddddvS0Lu? 0___PPT10 fqfqh___PPT9JB&* F4 (  4? -O  =;3Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1aWhat do we have to control? High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT Top level controlHLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|EEHLT low level controlGLogical aggregation Functional algorithms Division of HLT node by tasks`    Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    eHLT Tasks controlAlgorithms are treated by the ECS as hardware devices. Integrated as Device Unit (DU) DU behavior modeled with Finite State Machines Common state diagram for all algorithms Transitions mapped to Gaudi transitions Command parameters7  / Q  7/O   Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Algorithm status Counters Receives commandsB8 B8 Sub-Farm Control GUI Sub-farm controlHierarchical ECS main control + dynamic allocation Easy to include new farms into global system Single sub-farm controls as framework package + base on naming convention Easy to duplicate farm control system. 4 - J '  2-J'  Partitioning*Several sub-detectors (many teams) Different possible configurations (commissioning stage). Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Pool of sub-farms Dynamic allocation Different instances of run control running in parallel (readout partitions) ] ( (2 (. (L (]2,    L    @  Farm pool controls  Conclusions / 0  x(  r  S p,M    r  S H,9   d  <A? 8 l2  6jJ"`;l2  63jJ"`UH  0޽h ? 33___PPT10i.|+D=' = @B +r e k > 1 ( / 00DArialNew RomanLLu?Ԗׯ0Ԗ"DWingdingsRomanLLu?Ԗׯ0Ԗ DMonotype SortsLLu?Ԗׯ0Ԗ$0DTimes New RomanLLu?Ԗׯ0Ԗ@ .  @n?" dd@  @@`` 8&Bt   ! 9 m  ! b$\W=Z}fDZmtb$BМٻbb$]6Y@&k(yfb$30;~ťn]n'`b$/N|L Sΰ\Y+\b$p5I몯w\APUrR$Ut Y_8  b$ho)0b$4(?VfYDs, 3 rAAo"  f3@8  ʚ;8ʚ;g4KdKd?ׯ0,ppp@ <4ddddvS0Lu? 0___PPT10 fqfqh___PPT9JB&* F4 (  4? -O  =;3Controlling a large CPU farm using industrial tools44(%Real Time 2009 May 10-15 IHEP Beijing&&ECS and data flow in LHCb  Experiment Control SystemECS is in charge of the configuration, operation and supervision of all the online components in LHCb. Industrial SCADA system: PVSS FSM package Definition in terms of hierarchies of Finite State Machines. Distributed Information Management System (DIM) rg * = 1 f*=1aWhat do we have to control? High Level Trigger CPU Farm Composed out of up to 2000 boxes (= nodes) grouped into 50 subfarms (50 racks) up to 40 nodes/subfarm 8 cores/node * 1 HLT algorithm running/core^P , P+,;-HLT Top level controlHLT control PC Running main HLT project Control PC per sub-farm Running its own control project Corresponds to a control unit in ECS|                EEHLT low level controlGLogical aggregation Functional algorithms Division of HLT node by tasks`    Task architecture on HLT node Each node in the EFF runs one event-builder process. It distributes the assembled events to trigger processes. As many trigger-processes as there are CPU cores. Compute trigger decision and declare accepted events. Each node also runs one instance of the data-writer. Sends accepted events to Storage system. Algorithms implemented with GAUDI. GAUDI: data processing experiment independent framework. Same software used as for offline analysis.6 : 2 6 5 * # e 6:265*!    eHLT Tasks controlAlgorithms are treated by the ECS as hardware devices. Integrated as Device Unit (DU) DU behavior modeled with Finite State Machines Common state diagram for all algorithms Transitions mapped to Gaudi transitions Command parameters7  / Q  7/O   Communication layerCommunication via Distributed Information Management System (DIM) Communication mechanism based on client-server paradigm Task behaves as a DIM server Publishes services Algorithm status Counters Receives commandsB8 B8 Sub-Farm Control GUI Sub-farm controlHierarchical ECS main control + dynamic allocation Easy to include new farms into global system Single sub-farm controls as framework package + base on naming convention Easy to duplicate farm control system. 4 - J '  2-J'  Partitioning*Several sub-detectors (many teams) Different possible configurations (commissioning stage). Possibility to modify dynamically the readout components included to control. Different running modes (Physics, Calibration, Cosmics, etc). Run_type parameter sent with  Configure command Pool of sub-farms Dynamic allocation Different instances of run control running in parallel (readout partitions) ] ( (2 (. (L (]2,    L    @  Farm pool controls  Conclusions / 0 ~v@(  p  HFXͤf&A?uk x  c $M,M   M E  6\zMkz ,$0 UHigh Level Trigger Farm Second level of trigger input rate: 1MHz output rate: 2kHz: >! >"  BԔ?"` #  ,$D0"  BԔ?"`7 ,$@0)  6qo" U z O cRTSA2-3: A 40MHz Trigger-Free Readout Architecture for the LHCb Experiment at CERNdd LH  0޽h ? 33___PPT10.3PcQ+" XD' `= @B D' = @BA?%,( < +O%,( < +D4' =%(D' =%(D' =4@BBBB%(D' =1:Bvisible*o3>+B#style.visibility<*%(D' =%(D' =%(D+' =4@BBBB%()?)?D' =.G7 BBBBBYM 2.77778E-6 -1.11111E-6 L 0.11371 0.05324 *3>*B ppt_xB ppt_y=@0BBAApBBh=B<<*D:' =A@BBBB0B%()?)?D' =.I7 BBBBB[M -8.33333E-7 -1.48148E-6 L 0.13073 0.02894 *3>*B ppt_xB ppt_y=@0BBAApBB[=B$k<<*D-' =4@BBBB%()?)?D' =.I7 BBBBB[M -5.55556E-7 -7.40741E-7 L 0.11059 0.05185 *3>*B ppt_xB ppt_y=@0BBAApBB""b=Bb<<*D' =A@BBBB0B%(D' =1:Bvisible*o3>+B#style.visibility<*%(D' =%(Df' =%(D' =4@BBBB%(D' =1:Bvisible*o3>+B#style.visibility<*%(D' =4@BBBB%(D' =1:Bhidden*o3>+B#style.visibility<*%(+p+0+0 ++0+0 + 0 `0(  x  c $E,M   E x  0E Hi D<4___PPT9 HLT control completely defined and integrated into global LHCb control system. Implemented with same toolkit (PVSS & FSM) used through the ECS. Keeps Homogeneity Fully configurable at real time. Automatic control of processes for the shift operator.  Z 8;H  0޽h ? 33___PPT10i.3 C+D=' = @B +rz  P V ~ 1Root EntrydO)gPictures_ Current User,SummaryInformation(ܭ                I      !"#$%&'(*+,-./012345678KLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|} ) LHCbExperiment Control SystemWhat do we have to control?High Level Trigger CPU FarmHLT Top level controlHLT low level controlTask architecture on HLT nodeHLT Tasks controlCommunication layerSub-Farm Control GUISub-farm control PartitioningFarm pool controls Conclusions  Fonts UsedDesign T_ USERUSERambadeMaremplate Slide Titles      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{}~