• DocumentCode
    1930785
  • Title

    Resource Discovery Using PageRank Technique in Grid Environment

  • Author

    Hamid, Noorisyam ; Haron, Fazilah ; Yong, Chan Huah

  • Author_Institution
    Universiti Sains Malaysia, Malaysia
  • Volume
    1
  • fYear
    2006
  • fDate
    16-19 May 2006
  • Firstpage
    135
  • Lastpage
    140
  • Abstract
    The grid deals with large scale and ever-expanding environment which contains million of users and resources. For this reason, resource selection has been a challenging task especially in meeting user’s demand for a quality of service (QoS). A quality of service is the ability to serve a job by providing quality and reliable resource in fulfilling the user’s need. Quality and reliable resource selections naturally yield excellent and quality results. The background of the users and where the resource belongs to are important in determining the quality of a resource. This paper concerns with efficient and quality-based resource discovery using Condor ClassAd and PageRank technique in order to achieve a quality resource matching. The paper discusses how quality of users and resources are determined and considered in the discovery process prior to allocating jobs to resources.
  • Keywords
    Distributed computing; Grid computing; Large-scale systems; Processor scheduling; Quality of service; Resource management; Search engines; Web pages; Web sites; World Wide Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster Computing and the Grid, 2006. CCGRID 06. Sixth IEEE International Symposium on
  • Conference_Location
    Singapore
  • Print_ISBN
    0-7695-2585-7
  • Type

    conf

  • DOI
    10.1109/CCGRID.2006.87
  • Filename
    1630807