• DocumentCode
    2652828
  • Title

    Grid Resource Domain Split Technique Base on Association Rule

  • Author

    Yin Feng

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Southwest Univ. for Nat., Chengdu
  • fYear
    2009
  • fDate
    22-24 Jan. 2009
  • Firstpage
    260
  • Lastpage
    264
  • Abstract
    A grid resourcepsilas domain split management method (GR-DSMM) is presented, which based on association rule model to group the sub-tasks. Firstly, in order to enhance the association between the subtasks in one sub-task-group and strengthen the independency between the groups, the method groups all sub-tasks, which have been syncopated in userspsila tasks according to the association between the subtasks. Secondly, the GR-DSMM takes the sub-task group as one execution unit, which can reduce the frequent communication between the sub-task-groups, and improve the systempsilas efficiency. At the same time, the method divides the grid resources into domain split according to the sub-task-grouppsilas resource demands. And then, the method manages the classified grid resources taking a domain split as one basic unit. Finally, the performance of GR-DSMM is compared with that of multiple-queue backfilling scheduling algorithm and FCFS scheduling policy by emulator, and it proves that the method has superiority and practicability.
  • Keywords
    data mining; grid computing; FCFS scheduling policy; GR-DSMM; association rule; grid resource domain split management method; grid resource domain split technique; multiple-queue backfilling scheduling algorithm; Association rules; Computer science; Conference management; Distributed computing; Educational institutions; Grid computing; Processor scheduling; Resource management; Scheduling algorithm; Technology management; Grid; association rules; resource management; task scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Control, 2009. ICACC '09. International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-3330-8
  • Type

    conf

  • DOI
    10.1109/ICACC.2009.27
  • Filename
    4777347