• DocumentCode
    3229558
  • Title

    An Efficient Hybrid P2P Incentive Scheme

  • Author

    Guan, Zhitao ; Durad, Muhammad Hanif ; Cao, Yuanda ; Zhu, Liehuang

  • Author_Institution
    Beijing Inst. of Technol., Beijing
  • Volume
    3
  • fYear
    2007
  • fDate
    July 30 2007-Aug. 1 2007
  • Firstpage
    377
  • Lastpage
    382
  • Abstract
    P2P systems have suffered a lot from free riding problem i.e. some participants consume more resources than they contribute. In order to deal with this problem efficiently, an incentive model based on peer credit has been proposed. Each peer in this model is a credit entity. Through introducing reward method to the model, peers will allocate resources according to the credits of requesting peers to maximize their own credits. A backtracking algorithm has been suggested to solve the issue of maximizing credit rewards. To avoid inflation of the credit, attenuation method is introduced. The scheme how to apply the credit model in hybrid P2P networks has also been elaborated in this work. The experimental results show that the model can effectively control free riding and improve efficiency of the system.
  • Keywords
    backtracking; peer-to-peer computing; resource allocation; P2P network incentive scheme; attenuation method; backtracking algorithm; free riding problem; peer credit model; resource allocation; Artificial intelligence; Attenuation; Computer science; Distributed computing; Feedback; Game theory; Incentive schemes; Peer to peer computing; Resource management; Software engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-0-7695-2909-7
  • Type

    conf

  • DOI
    10.1109/SNPD.2007.180
  • Filename
    4287881