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Bibliographic record number: 510913

Journal

Authors: Marasović, Kristina; Jakobović, Domagoj
Title: Intelligent Problem Solving in Process Control of an Event Filter Cluster for a Particle Physics Experiment
( Intelligent Problem Solving in Process Control of an Event Filter Cluster for a Particle Physics Experiment )
Source: Expert systems with applications (0957-4174) 38 (2011), 11; 13568-13579
Paper type: article
Keywords: intelligent problem solving; decision support; process control; fault detection and recovery; fault prediction; expert systems.
( intelligent problem solving; decision support; process control; fault detection and recovery; fault prediction; expert systems. )
Abstract:
Modern particle physics experiments observing collisions of particle beams generate large amounts of data. Complex trigger and data acquisition systems are built to select on line the most interesting events and write them to persistent storage. The final stage of this selection process nowadays often happens on large computer clusters. The stable and reliable operation of such event filter clusters is critical for the success of these experiments. Operating the event filter cluster must ensure dead time free processing of large amount of data, requiring 24 hours continuous status monitoring of each processing node, and fast detection and problem solving. Ideally, problems should be recognized before they deteriorate the system performance. The process control of the event filter cluster is performed exclusively by a human operator, placing high demands difficult to accomplish. In this paper, a hybrid system based on expert system technology and statistical tools and methods is proposed to address this issue. The system is built upon a scalable modular architecture and a design overview is given. The proposed hybrid system is designed and tested in a real environment, with an event filter cluster prototype based on the architecture of the Compact Muon Solenoid experiment at CERN. The system test results with an analysis are provided. Finally, the future possibilities are discussed.
Project / theme: 023-0982887-3064
Original language: eng
Citation databases: Current Contents Connect (CCC)
Scopus
SCI-EXP, SSCI i/ili A&HCI
Science Citation Index Expanded (SCI-EXP) (sastavni dio Web of Science Core Collectiona)
Category: Znanstveni
Research fields:
Computer science
URL: http://dx.doi.org/10.1016/j.eswa.2011.04.104
http://www.sciencedirect.com/science/article/pii/S0957417411006312
http://http://pdn.sciencedirect.com/science?_ob=MiamiImageURL&_cid=271506&_user=3875467&_pii=S0957417411006312&_check=y&_origin=article&_zone=toolbar&_coverDate=31-Oct-2011&view=c&originContentFamily=serial&wchp=dGLbVlV-zSkzk&md5=8bbcf919ba992be97c96ddf071c03582/1-s2.0-S0957417411006312-main.pdf
Broj citata:
Altmetric:
DOI: 10.1016/j.eswa.2011.04.104
URL cjelovitog rada: http://dx.doi.org/10.1016/j.eswa.2011.04.104
Google Scholar: Intelligent Problem Solving in Process Control of an Event Filter Cluster for a Particle Physics Experiment
Contrib. to CROSBI by: kim@pmfst.hr (kim@pmfst.hr), 21. Tra. 2011. u 02:09 sati



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