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Pregled bibliografske jedinice broj: 295084

Process Control of an Event Filter Farm for a Particle Physics Experiment Based on Expert System Technology


Marasović, Kristina; Dalbelo-Bašić, Bojana; Brigljević, Vuko
Process Control of an Event Filter Farm for a Particle Physics Experiment Based on Expert System Technology // Knowledge-Based Intelligent Information and Engineering Systems : 11th International Conference KES 2007, XVII Italian Workshop on Neural Networks ; Proceedings ; Part 1 / Apolloni, Bruno ; Howlett, Robert J. ; Jain, Lakhmi (ur.).
Berlin, Heidelberg: Springer, 2007. str. 319-326 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Process Control of an Event Filter Farm for a Particle Physics Experiment Based on Expert System Technology

Autori
Marasović, Kristina ; Dalbelo-Bašić, Bojana ; Brigljević, Vuko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Knowledge-Based Intelligent Information and Engineering Systems : 11th International Conference KES 2007, XVII Italian Workshop on Neural Networks ; Proceedings ; Part 1 / Apolloni, Bruno ; Howlett, Robert J. ; Jain, Lakhmi - Berlin, Heidelberg : Springer, 2007, 319-326

ISBN
3-540-74817-2

Skup
Knowledge-Based Intelligent Information and Engineering Systems: 11th International Conference KES 2007, XVII Italian Workshop on Neural Networks

Mjesto i datum
Vietri sul Mare, Italija, 12. 09. - 14. 09. 2007

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Process control; expert systems; fault detection and diagnosis; recovery

Sažetak
Modern particle physics experiments observing collisions of particle beams generate large amounts of data. Large 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 farms. The stable and reliable operation of such Event Filter farms is critical for the success of these experiments. In this paper, the current status and plans in developing a Problem Solver based on expert system technology, which could be applied for maintaining reliability and uninterrupted operation of the Event Filter Farm, is described. The proposed Problem Solver has been tested with an Event Filter Farm prototype based on the architecture of the CMS experiment. A performance analysis of the Problem Solver integrated in the existing control system is given.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Projekt / tema
036-1300646-1986 - Otkrivanje znanja u tekstnim podacima (Bojana Dalbelo-Bašić, )
098-0982887-2878 - Eksperimentalna fizika na LHC energijama (Krešo Kadija, )

Ustanove
Fakultet elektrotehnike i računarstva, Zagreb,
Institut "Ruđer Bošković", Zagreb,
Prirodoslovno-matematički fakultet, Split