• DocumentCode
    1838762
  • Title

    Towards a Self-Adaptive Super-node P2P Overlay Based on Information Exchange

  • Author

    Liu, Jiaqi ; Chen, Zhigang ; Li, Deng ; Liu, Hui

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Central South Univ., Changsha
  • fYear
    2008
  • fDate
    18-21 Nov. 2008
  • Firstpage
    410
  • Lastpage
    415
  • Abstract
    P2P topology design is a hot topic because it is very important for solving the problems such as deficiency in scalability and effectivity of unstructured P2P overlays. A good topology can greatly improve the performance of search algorithm. The paper proposes a self-adaptive Super-node Overlay Based on Information Exchange called SOBIE. The super-node selection in the SOBIE is different from the general super-node selections which only consider physical capabilities such as bandwidth, CPU processing ability, storage space, and etc.. The SOBIE selects the super-nodes by considering the aggregation of the delay, distance, especially the information exchange frequency, exchange time and query similarity. The SOBIE also detects the free-riders and forces them to quit the system. Through experimental simulations, we prove that the SOBIE has better performance than random or standard super-node P2P topologies in terms of file query success rate, the average query hops, and the total number of query messages.
  • Keywords
    peer-to-peer computing; query processing; search problems; telecommunication network topology; information exchange frequency; information exchange time; peer-to-peer topology design; query similarity; search algorithm; self-adaptive super-node peer-to-peer overlay; Bandwidth; Delay effects; Design engineering; Frequency; Information science; Network topology; Peer to peer computing; Robustness; Scalability; Search methods; P2P overlay; information exchange; super node; topology matching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Young Computer Scientists, 2008. ICYCS 2008. The 9th International Conference for
  • Conference_Location
    Hunan
  • Print_ISBN
    978-0-7695-3398-8
  • Electronic_ISBN
    978-0-7695-3398-8
  • Type

    conf

  • DOI
    10.1109/ICYCS.2008.316
  • Filename
    4709008