THE ATLAS EXPERIMENT ON-LINE MONITORING AND FILTERING AS AN EXAMPLE OF REAL-TIME APPLICATION

Authors

  • K. Korcyl Institute of Nuclear Physics Polish Academy of Sciences
  • T. Szymocha Institute of Nuclear Physics Polish Academy of Sciences
  • W. Funika AGH University of Science and Technology
  • J. Kitowski AGH University of Science and Technology
  • R. Słota AGH University of Science and Technology
  • K. Balos ACC CYFRONET AGH
  • L. Dutka ACC CYFRONET AGH
  • K. Guzy ACC CYFRONET AGH
  • T. Kryza ACC CYFRONET AGH
  • J. Pieczykolan ACC CYFRONET AGH

DOI:

https://doi.org/10.7494/csci.2008.9.3.77

Keywords:

high energy physics, real-time procesing, trigger system, remote farms

Abstract

The ATLAS detector, recording LHC particles’ interactions, produces events with rate of40 MHz and size of 1.6 MB. The processes with new and interesting physics phenomena arevery rare, thus an efficient on-line filtering system (trigger) is necessary. The asynchronouspart of that system relays on few thousands of computing nodes running the filtering software.Applying refined filtering criteria results in increase of processing times what may lead tolack of processing resources installed on CERN site. We propose extension to this part ofthe system based on submission of the real-time filtering tasks into the Grid.

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Author Biographies

  • W. Funika, AGH University of Science and Technology
    Institute of Computer Science
  • J. Kitowski, AGH University of Science and Technology
    Institute of Computer Science
  • R. Słota, AGH University of Science and Technology
    Institute of Computer Science

References

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IPERF project home page. Available at: http://dast.nlanr.net/projects/Iperf.

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Funika W., Guzy K.: Integration of OCM-G into the JIMS infrastructure for the monitoring of a HEP application. Proceedings of Cracow Grid Workshop – CGW’07, October 15–17, 2007, Cracow, Poland

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Published

2013-04-20

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Section

Articles

How to Cite

THE ATLAS EXPERIMENT ON-LINE MONITORING AND FILTERING AS AN EXAMPLE OF REAL-TIME APPLICATION. (2013). Computer Science, 9(3), 77. https://doi.org/10.7494/csci.2008.9.3.77