1. Control in ATLAS TDAQ Dietrich Liko on behalf of the ATLAS TDAQ Group

2. CHEP04 - Interlaken Control of the ATLAS TDAQ system2 Overview The ATLAS TDAQ System Dataflow & HLT Control Subsystem of the Online Software Architecture TDAQ Wide Run Control Group Technology Choice CLIPS Design & Implementation Expert System Framework Run Control, Supervision & Verification Testing & Verification Test beam Scalability Tests

3. CHEP04 - Interlaken Control of the ATLAS TDAQ system3 The ATLAS TDAQ System Dataflow ROD ROS LVL1 HLT LVL2 Event Filter Online System Operation DCS Detector control Test beam: see [331] Event Building Performance: see [217]

4. CHEP04 - Interlaken Control of the ATLAS TDAQ system4 Control Aspects Dataflow Fixed configuration Synchronization, classical Run Control Error handling High level Triggers Flexible configuration Synchronization Error Handling

5. CHEP04 - Interlaken Control of the ATLAS TDAQ system5 ATLAS Online Software Component Architecture Object Oriented, C++ and Java Distributed system (CORBA) XML for Configuration Specialized services for a TDAQ system Information sharing, Message Reporting, Configuration Iterative Development Model Prototype already in use Laboratories, Test beam, Scalability tests Evolvement into the systems for initial ATLAS system

6. CHEP04 - Interlaken Control of the ATLAS TDAQ system6 Online Software Architecture In the context of the iterative development cycle and the Technical Design Review Reevaluation of requirements and architecture Several high level packages & corresponding subsystems Control Supervision, Verification Databases: see [130] Configuration, Conditions Information Sharing: see [166] Information Service, Message Service, Monitoring

7. CHEP04 - Interlaken Control of the ATLAS TDAQ system7 Control Subsystem In the following only the Supervision subsystem is discussed

8. CHEP04 - Interlaken Control of the ATLAS TDAQ system8 Supervision The Initialization and Shutdown is responsible for: initialization of TDAQ hardware and software components; re-initialization of a part of the TDAQ partition when necessary; shutting the TDAQ partition down gracefully; TDAQ process supervision. The Run Control is responsible for controlling the Run by accepting commands from the user and sending commands to TDAQ sub-systems; analyzing the status of controlled sub-systems and presenting the status of the whole TDAQ to the Operator The Error Handling is concerned with analyzing run-time error messages coming from TDAQ sub-systems; diagnosing problems, proposing recovery actions to the operator, or performing automatic recovery if requested.

9. CHEP04 - Interlaken Control of the ATLAS TDAQ system9 TDAQ Wide Run Control group Examines the requirements from the subsystem side Dataflow, HLT Hierarchical concept Follows the overall organization of the TDAQ system Controller central element All control functionality in combined controller State machine concept for synchronization Flexibility in error handling User customization

10. CHEP04 - Interlaken Control of the ATLAS TDAQ system10 Initial Design & Technology Choice A Run Control implementation is based on a State Machine model and uses the State Machine compiler, CHSM, as underlying technology. P.J. Lucas, An Object-Oriented language system for implementing concurrent hierarchical, finite state machines, MS Thesis, University of Illinois, (1993) A Supervisor is mainly concerned with process management. It has been built using the Open Source expert system CLIPS CLIPS, A tool for building expert systems, http://www.ghg.net/clips/CLIPS.html http://www.ghg.net/clips/CLIPS.html A Verification system (DVS) performs tests and provides diagnosis. It is also based on CLIPS.

11. CHEP04 - Interlaken Control of the ATLAS TDAQ system11 Experiences PLUS Scalability test in 2002 demonstrated that a system of the size of ATLAS TDAQ system can be controlled MINUS Lack of flexibility (CHSM)

12. CHEP04 - Interlaken Control of the ATLAS TDAQ system12 Technologies CLIPS Production system, standard open source expert system So-called Rete algorithm drives the evaluation rules on a set of facts In house experience General purpose scripting language, OO features C language bindings Alternatives Jess: Java based, very similar to CLIPS Eclipse: Commercial evolution of CLIPS SMI++ State Machine No general purpose scripting language Difficult to integrate in our environment Python Excellent scripting language No expert system

13. CHEP04 - Interlaken Control of the ATLAS TDAQ system13 Design & Implementation General Framework embedding CLIPS in a CORBA server Periodic evaluation of knowledge base Extension mechanism Online Software Components embedded as plug ins Control functionality fully described by CLIPS rules

14. CHEP04 - Interlaken Control of the ATLAS TDAQ system14 Proxy Objects Represent external entities Other controllers, processes etc Member attributes exposed to expert system as facts Member functions implement functionality in terms of Online software components Example Proxy objects represents child controllers State of the object corresponds to state of the child (idle, configured, running) Commands are forwarded to child controllers

15. CHEP04 - Interlaken Control of the ATLAS TDAQ system15 Controller Proxy Objects Other Controllers External processes Rules drive interactions between objects

16. CHEP04 - Interlaken Control of the ATLAS TDAQ system16 Status Supervisor Uses Framework Run Control Uses Framework Verification system CLIPS based Choice of a common technology drives the path to an unified control system based on Controllers

17. CHEP04 - Interlaken Control of the ATLAS TDAQ system17 Scalability Test 2004 Test bed Up to 330 PCs of the CERN IT LXSHARE 600 to 800 MHz to 2.4 GHZ Dual Pentium III 256 to 512 MB Linux RedHat 7.3 Only control aspect verified No Dataflow network Various configurations Servers on standard machines Servers on dedicated high end machines

18. CHEP04 - Interlaken Control of the ATLAS TDAQ system18 Supervisor – Process Management Supervisor P P P One Supervisor PMG Agents Startup limited by initialization of processes Enhanced recovery procedures

19. CHEP04 - Interlaken Control of the ATLAS TDAQ system19 Startup with 1000 Controllers & 3000 processes in 40 to 100 seconds Several configurations: mon_standard has two additional processes for a controller

20. CHEP04 - Interlaken Control of the ATLAS TDAQ system20 Run Control Usual RC tree Actually 10 controllers on the lowest level Variation of the number of intermediate nodes Some central infrastructure Name Service (IPC) Information Sharing

21. CHEP04 - Interlaken Control of the ATLAS TDAQ system21 Transitions 7 internal phases With 1000 Controllers 2 to 6 seconds No “real life” actions Again: More flexible error handling

22. CHEP04 - Interlaken Control of the ATLAS TDAQ system22 Combined Testbeam 2004 Stable operation from the start – Advantage of the component model

23. CHEP04 - Interlaken Control of the ATLAS TDAQ system23 Conclusions New assessment of requirements Overall Architecture Controller studied in detail CLIPS confirmed as technology choice Design and implementation of a new framework First test of new systems Test beam Scalability test We can control a system of the size of the ATLAS TDAQ system Much more flexible system Common technology in various control components Unified controllers in the future