• DocumentCode
    1564222
  • Title

    Differentiated search in hierarchical peer-to-peer networks

  • Author

    Wang, Chen ; Xiao, Li ; Zheng, Pei

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Michigan State Univ., USA
  • fYear
    2005
  • Firstpage
    269
  • Lastpage
    276
  • Abstract
    Although the original intent of the peer-to-peer (P2P) concept is to treat each participant equally, heterogeneity widely exists in deployed P2P networks. In this paper, we suggest to improve the search efficiency of P2P network by utilizing the query answering heterogeneity. Our proposed differentiated search (DiffSearch) algorithm can evolve an unstructured P2P network to a two-tier hierarchical structure, where peers with high query answering capabilities are grouped in the first tier, which has higher priority to be queried than the second tier. Because the query answering capability is extremely unbalanced among peers, a high query success ratio can be achieved by querying only a small portion of the network. The search traffic is dramatically reduced due to the shrunken search space. Our trace analysis and simulation show that the DiffSearch algorithm can save up to 60% of search traffic.
  • Keywords
    peer-to-peer computing; query formulation; query processing; DiffSearch algorithm; P2P networks; differentiated search; hierarchical peer-to-peer networks; query answering heterogeneity; search traffic; simulation; trace analysis; two-tier hierarchical structure; Algorithm design and analysis; Analytical models; Computer science; Floods; Intelligent networks; Peer to peer computing; Proposals; Scalability; Telecommunication traffic; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing, 2005. ICPP 2005. International Conference on
  • ISSN
    0190-3918
  • Print_ISBN
    0-7695-2380-3
  • Type

    conf

  • DOI
    10.1109/ICPP.2005.32
  • Filename
    1488623