• DocumentCode
    3307427
  • Title

    An Effective Trust-Based Search Approach in Peer-to-Peer Network

  • Author

    Li, Jun-qing ; Xie, Sheng-xian ; Pan, Quan-ke ; Gao, Kaizhou ; Jia, Baoxian ; Wang, Yuting

  • Author_Institution
    Coll. of Comput. Sci., Liaocheng Univ., Liaocheng, China
  • fYear
    2010
  • fDate
    24-25 April 2010
  • Firstpage
    206
  • Lastpage
    209
  • Abstract
    In this paper, a novel optimized trust-based search approach was proposed for the peer-to-peer (P2P) platform. In traditional trust-based or recommendation P2P system, the trust or recommendation value of a peer is considered when selecting it for forwarding messages or downloading resources, while the other factors are ignored, such as good download rate, good response rate, and on-line time similarity. In the proposed optimized approach, we consider all possible factors which affect the search quality in the P2P system. The proposed algorithm is developed on the well-known QueryCycle platform. Experiment results show the efficiency of our approach.
  • Keywords
    Computational modeling; Computer networks; Computer science; Displays; Educational institutions; Machine vision; Man machine systems; Network servers; Peer to peer computing; System testing; peer-to-peer; platform; recommendation value; search mechansim;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Vision and Human-Machine Interface (MVHI), 2010 International Conference on
  • Conference_Location
    Kaifeng, China
  • Print_ISBN
    978-1-4244-6595-8
  • Electronic_ISBN
    978-1-4244-6596-5
  • Type

    conf

  • DOI
    10.1109/MVHI.2010.133
  • Filename
    5532714