• DocumentCode
    2726495
  • Title

    An Evolutionary Game Model of Resources-sharing Mechanism in P2P Networks

  • Author

    Zhang, Qiang ; Xue, Hui-Feng ; Kou, Xiao-dong

  • Author_Institution
    Xi ´´an Univ. of Technol., Xi´´an
  • fYear
    2007
  • fDate
    2-3 Dec. 2007
  • Firstpage
    282
  • Lastpage
    285
  • Abstract
    Aiming at the micro and static aspects of methodology limitations in Peer-to-Peer (P2P) network resources-sharing research and based on features like self-organization, dynamic and expandability of P2P network, this paper advances an evolutionary game model for resources-sharing mechanism in P2P network peers by employing evolutionary game theory, which can analyze the dynamic evolutionary process of the mechanism. The analysis results show that the network´s evolutionary direction is related to the players´ payoff matrix as well as to the network´s initial state. Moreover, the key factors affecting the network´s evolution, i.e., cooperation profit, initial cooperation cost, resources differences among peers and the relative discount factors, are further studied respectively.
  • Keywords
    evolutionary computation; game theory; peer-to-peer computing; resource allocation; P2P networks; dynamic evolutionary process; evolutionary game model; payoff matrix; peer-to-peer network; resources sharing mechanism; Automation; Biological system modeling; Costs; Game theory; Information analysis; Information science; Information technology; Learning systems; Nash equilibrium; Peer to peer computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, Workshop on
  • Conference_Location
    Zhang Jiajie
  • Print_ISBN
    978-0-7695-3063-5
  • Type

    conf

  • DOI
    10.1109/IITA.2007.29
  • Filename
    4427018