• DocumentCode
    599743
  • Title

    CAPMAuction: Reputation indexed auction model for resource allocation in Grid computing

  • Author

    Rahman, Md Arifur ; Rahman, Rashedur M.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., North South Univ., Dhaka, Bangladesh
  • fYear
    2012
  • fDate
    20-22 Dec. 2012
  • Firstpage
    651
  • Lastpage
    654
  • Abstract
    Computational Grids are a promising platform for executing large-scale resource intensive applications. However, resource management and scheduling in the Grid environment is a complex undertaking as resources are geographically distributed, heterogeneous in nature, owned by different organizations with their own policies, have different access and cost models, and have dynamically varying loads and availability. Dynamic pricing and good level of Pareto optimality make auctions more attractive for resource allocation over other economic models. The Capital Asset Pricing Model (CAPM) holds the equilibrium relationship between the expected return and risk on an investment. In this context, it is worthwhile to investigate the communication demand or complexity of auction protocols in Economy Grid environments. This work proposes CAPM Auction for resource allocation in Grid environment.
  • Keywords
    decision making; fuzzy set theory; grid computing; resource allocation; scheduling; CAPM Auction model; Pareto optimality; auction protocol complexity; capital asset pricing model; communication demand; computational grid; dynamic pricing; economy grid environment; grid computing; investment risk; reputation indexed auction model; resource allocation; resource management; resource scheduling; Computational modeling; Equations; Grid computing; Indexes; Mathematical model; Proposals; Resource management; ANN Negotiator; CAPM Auction; Fuzzy Negotiator; Site Reputation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical & Computer Engineering (ICECE), 2012 7th International Conference on
  • Conference_Location
    Dhaka
  • Print_ISBN
    978-1-4673-1434-3
  • Type

    conf

  • DOI
    10.1109/ICECE.2012.6471634
  • Filename
    6471634