• DocumentCode
    2501067
  • Title

    GDCS resource deployment strategy of conflicting & sharing

  • Author

    Yang, Jian ; Hou, Xiaoli ; Huang, Daoping

  • Author_Institution
    Sch. of Electron. & Inf., Guangdong Polytech. Normal Univ., Guangzhou
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    8765
  • Lastpage
    8769
  • Abstract
    Reasonable resource deployment is an important guarantee for grid effective service. From industry application perspective, the resources is constrained by property, so as to GDCS have to deal with conflicts resulting from resource sharing. Based on the hierarchical task scheduling model, the incomplete resource deployment strategy was proposed in this paper. Firstly, queuing theory is used to solve the single resource allocation of multitasks. With known transmission rate and execution rate, and aiming for the lowest cost of communication and execution, multitasks are sorted, and resources exploring right are allocated according to task priority. Secondly, under conditions of completely independent or incompletely independence, the resource deployment heuristic algorithm are proposed to solve multi-resources share and conflict caused by multitasks: the serial transmission of task assignment is implemented by system scheduler, and then resources is deployed by region scheduler in parallel. The results proved that the burden of system communication is lessened, and furthermore, the centralized work pressure of system scheduler is lightened. However, this algorithm can obtain nearly optimization solution instead of optimum solution. Finally, the future research directions of this technique are also discussed.
  • Keywords
    grid computing; queueing theory; resource allocation; scheduling; GDCS resource deployment; centralized work pressure; grid effective service; hierarchical task scheduling model; queuing theory; region scheduler; resource deployment heuristic algorithm; resource sharing; serial transmission; single resource allocation; system communication; system scheduler; task assignment; Automation; Distributed control; Electronics industry; Heuristic algorithms; Industrial electronics; Information science; Intelligent control; Job shop scheduling; Mathematics; Resource management; GDCS(Grid-based distributed control system); grid; heuristic algorithm; non complete independence subtask; resource deployment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4594310
  • Filename
    4594310