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| MOB005 |
The Compace Muon Solenoid Detector Control System
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10 |
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- R. Gomez-Reino, B. Beccati, E. Cano, M. Ciganek, S. Cittolin, J. A. Coarasa, C. Deldicque, D. Gigi, F. Glege, J. Gutleber, Y. L. Hwong, J. F. Laurens, F. Meijers, E. Meschi, R. Moser, L. Orsini, A. Racz, H. Sakulin, C. Schwick, M. Simon, M. Zanetti
CERN, Geneva
- G. Bauer, C. Loizides, C. Paus, J. F. Serrano Margaleff, K. Sumorok
MIT, Cambridge, Massachusetts
- U. Behrens, D. Hatton, A. Meyer
DESY, Hamburg
- K. Biery, H. Cheung, J. A. Lopez-Perez, R. K. Mommsen, V. O'Dell, D. Shpakov
Fermilab, Batavia
- J. Branson, A. Petrucci, M. Pieri, M. Sani
UCSD, La Jolla, California
- S. Erhan
UCLA, Los Angeles, California
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The Compact Muon Solenoid (CMS) experiment at CERN is one of the Large Hadron Collider multi-purpose experiments. Its large subsystems size sum up to around 6 million Detector Control System (DCS) channels to be supervised. A cluster of ~100 servers is needed to provide the required processing resources. To cope with such a size a scalable approach has been chosen factorizing the DCS system as much as possible. CMS DCS has made a clear division between its computing resources and functionality by creating a computing framework allowing for plugging in functional components. DCS components are developed by the subsystems expert groups while the computing infrastructure is developed centrally. To ease the component development task, a framework based on PVSSII [1] has been developed by the CERN Joint Controls Project [2] (JCOP). This paper describes the current status of CMS Detector Control System, giving an overview of the DCS computing infrastructure, the integration of DCS subsystem functional components and the experience gathered so far.
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Slides
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| THP015 |
An Analysis of the Control Hierarchy Modelling of the CMS Detector Control System
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706 |
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- Y. L. Hwong, B. Beccati, E. Cano, M. Ciganek, S. Cittolin, J. A. Coarasa, C. Deldicque, D. Gigi, F. Glege, R. Gomez-Reino, J. Gutleber, J. F. Laurens, F. Meijers, E. Meschi, R. Moser, L. Orsini, A. Racz, H. Sakulin, C. Schwick, M. Simon, M. Zanetti
CERN, Geneva
- G. Bauer, C. Loizides, F. Ma, C. Paus, J. F. Serrano Margaleff, K. Sumorok, A. S. Yoon
MIT, Cambridge, Massachusetts
- U. Behrens, D. Hatton, A. Meyer
DESY, Hamburg
- K. Biery, H. Cheung, J. A. Lopez-Perez, R. K. Mommsen, V. O'Dell, D. Shpakov
Fermilab, Batavia
- J. Branson, A. Petrucci, M. Pieri, M. Sani
UCSD, La Jolla, California
- S. Erhan
UCLA, Los Angeles, California
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Funding: ACEOLE: A Marie Curie Initial Training Network Project
The high level Detector Control System (DCS) of the CMS experiment is modeled using Finite State Machines (FSM), which cover the control application behaviors of all the sub-detectors and support services. The Joint Controls Project (JCOP) at CERN has chosen the SMI++ framework for this purpose. Based on this framework, the functionality and behavior of the equipments and subsystems of the experiment is represented as a collection of objects in a hierarchical structure where commands flow down and states flow upwards. The FSM tree of the whole CMS experiment consists of tens of thousands of nodes. Due to the enormous size and complexity of the system, a high level of homogeneity and consistency is desired. The analysis of the current FSM hierarchy of the CMS experiment and the design of a mechanism for the optimization of the FSM logic and structure will be presented. The CMS FSM system will be discussed in view of most recent research on modeling and analysis of such systems. An algorithm for analyzing and remedying complex FSM system will be presented.
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Poster
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