• DocumentCode
    1928038
  • Title

    Job Scheduler Parameter Analysis to Find an Optimal Parameter Configuration

  • Author

    Ito, Rika

  • Author_Institution
    Inst. of Phys. & Chem. Res. (RIKEN), Wako
  • fYear
    2009
  • fDate
    16-19 March 2009
  • Firstpage
    19
  • Lastpage
    26
  • Abstract
    The use of PC cluster systems composed of many PCs is largely spread in these days. It is important to improve system usage keeping proper fair-share policy. This optimization problem is difficult to solve. In scheduler software, there are many parameters and the effectiveness of many parameters is related with each other complicatedly. Therefore it is more difficult to find optimal parameter configuration to improve the system usage efficiency. So in this paper, we performed various analyses of those parameters and report the results.
  • Keywords
    optimisation; scheduling; systems analysis; PC cluster systems; fair-share policy; job scheduler parameter analysis; optimal parameter configuration; scheduler software; system usage efficiency; Chemical analysis; Competitive intelligence; Grid computing; Indium tin oxide; Performance analysis; Personal communication networks; Resource management; Scheduling algorithm; Software systems; Supercomputers; NQS; PC cluster; Parameter configuration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex, Intelligent and Software Intensive Systems, 2009. CISIS '09. International Conference on
  • Conference_Location
    Fukuoka
  • Print_ISBN
    978-1-4244-3569-2
  • Electronic_ISBN
    978-0-7695-3575-3
  • Type

    conf

  • DOI
    10.1109/CISIS.2009.203
  • Filename
    5066764