• DocumentCode
    2721628
  • Title

    A Novel P2P Network Model for Cloud Computing Based on Game Theory

  • Author

    Qi, ShouQing ; Yang, Lei ; Xu, HaiMei ; Qi, LongChen

  • Author_Institution
    Chongqing Commun. Coll., Chongqing, China
  • fYear
    2012
  • fDate
    11-13 Aug. 2012
  • Firstpage
    1635
  • Lastpage
    1638
  • Abstract
    In this paper, a novel P2P network model for cloud computing is proposed to prevent the "calculation capacity" from being controlled by a few tycoons. The common users can become a part of "cloud" by joining as nodes. To solve "free-ride" and "the tragedy of commons" arising from p2p network model, "cloud" is divided into many clusters, and the incentive mechanism of the optimal Pareto game theory is taken in each cluster as well as supervision game theory is among clusters. In this way, nodes are made more active and contributive, and shared resources of cloud computing can be realized.
  • Keywords
    Pareto optimisation; cloud computing; game theory; peer-to-peer computing; resource allocation; P2P network model; calculation capacity; cloud clusters; cloud computing; free-ride problem; incentive mechanism; optimal Pareto game theory; resource sharing; supervision game theory; the tragedy of commons problem; Bandwidth; Cloud computing; Computational modeling; Computers; Game theory; Peer to peer computing; Resource management; P2P; cloud computing; game theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Service System (CSSS), 2012 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-0721-5
  • Type

    conf

  • DOI
    10.1109/CSSS.2012.409
  • Filename
    6394648