• DocumentCode
    2791370
  • Title

    An Analysis of Availability Distributions in Condor

  • Author

    Wolski, Rich ; Nurmi, Daniel ; Brevik, John

  • Author_Institution
    California Univ., Santa Barbara, CA
  • fYear
    2007
  • fDate
    26-30 March 2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this article, we investigate the dynamics exhibited by the production Condor pool at the University of Wisconsin with the goal of understanding its distributional properties. Condor is a cycle-harvesting service originally designed to launch and control "guest" user jobs (in batch mode) on idle workstations. Since its inception in 1985, however, it has expanded to include the ability to run in dedicated mode on clusters, to "glide in" to systems that are not strictly dedicated to Condor, and to "flock" jobs from one site to another based on pre-determined service level agreements (SLAs). Thus it has developed from an enterprise-wide desktop system into a full-fledged global computing infrastructure over its lifetime.
  • Keywords
    batch processing (computers); processor scheduling; statistical distributions; Condor system; availability distribution; batch mode; cycle-harvesting service; enterprise-wide desktop system; global computing infrastructure; idle workstation; service level agreement; statistical distribution; Availability; Distributed computing; Dynamic scheduling; Job design; Measurement; Performance analysis; Physics computing; Processor scheduling; Weather forecasting; Weibull distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing Symposium, 2007. IPDPS 2007. IEEE International
  • Conference_Location
    Long Beach, CA
  • Print_ISBN
    1-4244-0910-1
  • Electronic_ISBN
    1-4244-0910-1
  • Type

    conf

  • DOI
    10.1109/IPDPS.2007.370523
  • Filename
    4228251