• DocumentCode
    3316723
  • Title

    A grid scheduling approach based resource state prediction

  • Author

    Liu Jue-Fu

  • Author_Institution
    Inf. Eng. Coll., East China Jiao Tong Univ., Nanchang, China
  • fYear
    2009
  • fDate
    8-11 Aug. 2009
  • Firstpage
    607
  • Lastpage
    609
  • Abstract
    In order to improve the resource utilization and grid application performance, present a dynamic scheduling approach (scheduling based resource state prediction for short SBRSP). Experimental results demonstrate that this approach diminishes latency and response time of tasks.
  • Keywords
    dynamic scheduling; grid computing; resource allocation; dynamic scheduling approach; grid scheduling approach; resource state prediction; resource utilization; scheduling based resource state prediction; Delay; Dynamic scheduling; Educational institutions; Electrical capacitance tomography; Grid computing; Heuristic algorithms; Predictive models; Processor scheduling; Resource management; Scheduling algorithm; grid; prediction; resources; scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4519-6
  • Electronic_ISBN
    978-1-4244-4520-2
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2009.5234810
  • Filename
    5234810
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3316723