• DocumentCode
    176825
  • Title

    A survey on the node failure handling of P2P networks

  • Author

    Ge Jia ; Fu Xiao-Dong ; Gao Tian-Yu ; Chen Bin-Bin ; Fan Hong-bo

  • Author_Institution
    Fac. of Inf. Eng. & Autom., Kunming Univ. of Sci. & Technol., Kunming, China
  • fYear
    2014
  • fDate
    May 31 2014-June 2 2014
  • Firstpage
    4077
  • Lastpage
    4082
  • Abstract
    The application based on P2P technology is one of the most important application of the Internet, but it is often affected by the node failure or abnormal nodes exit. In P2P network, node failure can cause data loss and invalid index, then reduce QoS (Quality of Service) of P2P network, lead to reputation system crashes and so on. Therefore the P2P node failure handling and recovery method can effectively prevent and deal with the mentioned negative influence. Above these problems are very important to improve the robustness and QoS of P2P network. This paper first introduces the background and the causes of node failure of P2P network. Second, we review the main progresses of node failure prediction, node data recovery, super-node selection and routing node algorithm etc. dealing with node failure handling in recent year. Finally, some challenging research problem in the future work is discussed.
  • Keywords
    Internet; computer network reliability; failure analysis; peer-to-peer computing; quality of service; Internet; P2P networks; P2P node failure handling; P2P node recovery method; QoS; data loss; invalid index; node data recovery; node failure prediction; quality of service; reputation system; routing node algorithm; super-node selection; Automation; Computer applications; Conferences; Educational institutions; Peer-to-peer computing; Quality of service; Routing; Failure recovery; Handling strategy; Node failure; P2P network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (2014 CCDC), The 26th Chinese
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-3707-3
  • Type

    conf

  • DOI
    10.1109/CCDC.2014.6852895
  • Filename
    6852895