• DocumentCode
    3300829
  • Title

    A Policy-Based Adaptive Scheduling Model of Software Resource in ITSGrid

  • Author

    Lin, Xu ; Shiru, Qu

  • Author_Institution
    Sch. of Autom., Northwestern Polytech. Univ., Xian, China
  • fYear
    2012
  • fDate
    July 31 2012-Aug. 2 2012
  • Firstpage
    5
  • Lastpage
    8
  • Abstract
    Because of the distribution and heterogeneity of application software license resource in ITSGrid, more than one resource node could satisfy requirements of large-scale computing services in ITSGrid. How to select software license resources among ITS resource nodes, determine appropriate license resource scheduling strategy for computing tasks and maximize utilization rate of expensive large-scale software is becoming a problem must be addressed in ITSGrid. In this paper, we analyze the architecture of resource node in ITSGrid, design a policy-based adaptive scheduling model of application software license resource for ITSGrid, propose relative adaptive scheduling algorithm for application software license, solve license resource global scheduling problem in ITSGrid, which could improve ITSGrid system throughput, shorten waiting and response time of large-scale computing jobs and maximize benefit of expensive application software in ITSGrid.
  • Keywords
    automated highways; grid computing; resource allocation; scheduling; ITS resource nodes; ITSGrid; application software license resource; large-scale computing services; license resource global scheduling problem; license resource scheduling strategy; policy-based adaptive scheduling model; software resource; Adaptation models; Adaptive scheduling; Application software; Computational modeling; Licenses; Processor scheduling; Adaptive Scheduling; Application Software License Resource; ITSGrid; Policy-based;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Manufacturing and Automation (ICDMA), 2012 Third International Conference on
  • Conference_Location
    GuiLin
  • Print_ISBN
    978-1-4673-2217-1
  • Type

    conf

  • DOI
    10.1109/ICDMA.2012.2
  • Filename
    6298705