• DocumentCode
    3139419
  • Title

    An Efficient Replica Location Method in Hierarchical P2P Networks

  • Author

    Sun, Xin ; Li, Kan ; Liu, Yushu

  • Author_Institution
    Beijing Key Lab. of Intell. Inf. Technol., Beijing Inst. of Technol., Beijing, China
  • fYear
    2009
  • fDate
    1-3 June 2009
  • Firstpage
    769
  • Lastpage
    774
  • Abstract
    The existing replica location services mostly deal with read-only data, thus the replica location mechanism is relatively simple. This paper aims to provide global replica view in logic for better supporting all-around replica management to realize optimal replication strategy and replication selection strategy. We present the bidirectional linked list based replica location service (BLL-RLS) on tree-based hierarchical unstructured overlay networks, including the deployment of replica location service and the design of the bidirectional linked list based replica catalog. In the absence of the centralized replication management, it can logically provide a global replica view of the original. Based on the bidirectional linked list based replica catalog, replica location and selection algorithm is also proposed. Simulation results show that the algorithm has better performance.
  • Keywords
    peer-to-peer computing; trees (mathematics); bidirectional linked list; centralized replication management; hierarchical P2P networks; optimal replication strategy; read-only data; replica location method; replica location services; replica management; replication selection strategy; selection algorithm; tree-based hierarchical unstructured overlay networks; Computer networks; Computer science; Costs; Information science; Information technology; Intelligent networks; Logic; Resonance light scattering; Resource management; Sun; P2P overlay; Replica Location; Replica Management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Science, 2009. ICIS 2009. Eighth IEEE/ACIS International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3641-5
  • Type

    conf

  • DOI
    10.1109/ICIS.2009.192
  • Filename
    5222877