• DocumentCode
    3286081
  • Title

    Cumulative Reputation Systems for Peer-to-Peer Content Distribution

  • Author

    Mortazavi, B. ; Kesidis, G.

  • Author_Institution
    CS&E Dept., Pennsylvania State Univ., University Park, PA
  • fYear
    2006
  • fDate
    22-24 March 2006
  • Firstpage
    1546
  • Lastpage
    1552
  • Abstract
    Reputation systems can be used to provide incentives for cooperation among participants of peer-to-peer networks. In this paper, a survey of such systems is first provided. We then focus on content distribution networks that have honest but rationally selfish users. A reputation framework is proposed that, for special cases, can be proved to converge in mean to "reveal" the true propensity of peer nodes to cooperate. Based on this framework a game is designed in which users play to maximize the files received from the system by adjusting their cooperation level and gaining a better reputation as a result.
  • Keywords
    content management; game theory; peer-to-peer computing; content distribution network; cumulative reputation system; game theory; peer-to-peer network; Context; Costs; Merchandise; Network servers; Peer to peer computing; Quality of service; Robustness; Routing protocols; Telecommunication network reliability; Wireless application protocol;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Sciences and Systems, 2006 40th Annual Conference on
  • Conference_Location
    Princeton, NJ
  • Print_ISBN
    1-4244-0349-9
  • Electronic_ISBN
    1-4244-0350-2
  • Type

    conf

  • DOI
    10.1109/CISS.2006.286385
  • Filename
    4068051