• DocumentCode
    2327744
  • Title

    ISE02-5: Analysis of Large-Scale Hybrid Peer-to-Peer Network Topology

  • Author

    Xie, Chao ; Pan, Yi

  • Author_Institution
    Dept. of Comput. Sci., Georgia State Univ., Atlanta, GA
  • fYear
    2006
  • fDate
    Nov. 27 2006-Dec. 1 2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Modeling peer-to-peer (P2P) networks is a challenge for P2P researchers. In this paper, we provide a detailed analysis of large-scale hybrid P2P network topology, using Gnutella as a case study. First, we re-examine the power-law distributions of the Gnutella network discovered by previous researchers. Our results show that the current Gnutella network deviates from the earlier power-laws, suggesting that the Gnutella network topology may have evolved a lot over time. Second, we identify important trends with regard to the evolution of the Gnutella network between September 2005 and February 2006. Third, we provide a novel two-layered approach to study the topology of the Gnutella network. Due to the limitations of the power-laws, we divide the Gnutella network into two layers, namely the mesh and the forest, to model the hybrid and highly dynamic architecture of the current Gnutella network. We give a detailed analysis of the topology of the mesh and present two power-laws concerning the mesh topology. Moreover, we examine the topology properties of the forest and provide one empirical law concerning the tree size. Using the two-layered approach and laws proposed, we can generate realistic topologies easily.
  • Keywords
    peer-to-peer computing; telecommunication network topology; Gnutella network; P2P researchers; modeling peer-to-peer networks; peer-to-peer network topology; power-law distributions; Chaos; Computer science; Crawlers; Large-scale systems; Network topology; Peer to peer computing; Power system modeling; Protocols;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2006. GLOBECOM '06. IEEE
  • Conference_Location
    San Francisco, CA
  • ISSN
    1930-529X
  • Print_ISBN
    1-4244-0356-1
  • Electronic_ISBN
    1930-529X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2006.189
  • Filename
    4150819