• DocumentCode
    2266097
  • Title

    Efficient Resource Selection Algorithm for Enterprise Grid Systems

  • Author

    Nik, Wan Nor Shuhadah Wan ; Zhou, Bing Bing ; Zomaya, Albert Y. ; Abawajy, Jemal H.

  • Author_Institution
    Sch. of Inf. Technol., Univ. of Sydney, Sydney, NSW, Australia
  • fYear
    2011
  • fDate
    26-28 May 2011
  • Firstpage
    57
  • Lastpage
    62
  • Abstract
    This paper addresses a resource selection problem for applications that update data in enterprise grid systems. The problem is insufficiently addressed as most of the existing resource selection approaches in grid environments primarily deal with read-only job. We propose a simple yet efficient algorithm that deals with the complexity of resource selection problem in enterprise grid systems. The problem is formulated as a Multi Criteria Decision Making (MCDM) problem. Our proposed algorithm hides the complexity of resource selection process without neglecting important components that affect job response time. The difficulty on estimating job response time is captured by representing them in terms of different QoS criteria levels at each resource. Our experiments show that the proposed algorithm achieves very good results with good system performance as compared to existing algorithms.
  • Keywords
    decision making; enterprise resource planning; grid computing; quality of service; resource allocation; MCDM problem; QoS criteria levels; enterprise grid systems; estimating job response time; grid environments; multi criteria decision making problem; read-only job; resource selection algorithm; system performance; Algorithm design and analysis; Availability; Business; Prediction algorithms; Quality of service; Time factors; QoS; asynchronous replication; enterprise grid computing; performance prediction; resource selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing with Applications (ISPA), 2011 IEEE 9th International Symposium on
  • Conference_Location
    Busan
  • Print_ISBN
    978-1-4577-0391-1
  • Electronic_ISBN
    978-0-7695-4428-1
  • Type

    conf

  • DOI
    10.1109/ISPA.2011.25
  • Filename
    5951883