• DocumentCode
    1128384
  • Title

    Provenance in High-Energy Physics Workflows

  • Author

    Dolgert, Andrew ; Gibbons, Lawrence ; Jones, Christopher D. ; Kuznetsov, Valentin ; Riedewald, Mirek ; Riley, Daniel ; Sharp, Gregory J. ; Wittich, Peter

  • Author_Institution
    Cornell Univ., Ithaca, NY
  • Volume
    10
  • Issue
    3
  • fYear
    2008
  • Firstpage
    22
  • Lastpage
    29
  • Abstract
    The adoption of large-scale distributed computing presents new opportunities and challenges for the physicists analyzing data from the Large Hadron Collider experiments. With petabytes of data to manage, effective use of provenance is critical to understanding the results.
  • Keywords
    data analysis; high energy physics instrumentation computing; object-oriented programming; compact muon solenoid; data analysis; high-energy physics software design; large-scale distributed computing; Analytical models; Data analysis; Detectors; Large Hadron Collider; Particle production; Performance analysis; Physics computing; Production systems; Reproducibility of results; Systematics; Provenance; metadata; physics; scientific databases;
  • fLanguage
    English
  • Journal_Title
    Computing in Science & Engineering
  • Publisher
    ieee
  • ISSN
    1521-9615
  • Type

    jour

  • DOI
    10.1109/MCSE.2008.81
  • Filename
    4488061
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1128384