• DocumentCode
    2333571
  • Title

    Topological Properties Affect the Power of Network Coding in Decentralized Broadcast

  • Author

    Niu, Di ; Li, Baochun

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
  • fYear
    2010
  • fDate
    14-19 March 2010
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    There exists a certain level of ambiguity regarding whether network coding can further improve download performance in P2P content distribution systems, as compared to commonly applied heuristics such as rarest first protocols. In this paper, we revisit the problem of broadcasting multiple data blocks from a single source in an overlay network using gossip-like protocols. Our new finding reveals that the marginal benefit of network coding critically depends on the dynamics of network topologies. We show that although network coding is optimal as a block selection mechanism, simple non-coding protocols are close to optimal in complete and random graphs, leading to marginal benefits of network coding. However, network coding demonstrates salient benefits in clustered and time-varying topologies, which are common in real-world systems with ISP-locality mechanisms implemented. Through both theoretical analysis and simulation results, we unveil the underlying reasons behind discrepancies in the power of network coding under different scenarios.
  • Keywords
    graph theory; network coding; peer-to-peer computing; protocols; telecommunication network topology; ISP-locality mechanisms; P2P content distribution systems; block selection mechanism; clustered topology; decentralized broadcast; gossip-like protocols; multiple data block broadcasting; network coding; network topology; overlay network; random graphs; time-varying topology; Bandwidth; Broadcasting; Communication system traffic control; Communications Society; Delay effects; Network coding; Network topology; Peer to peer computing; Protocols; Time varying systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM, 2010 Proceedings IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    0743-166X
  • Print_ISBN
    978-1-4244-5836-3
  • Type

    conf

  • DOI
    10.1109/INFCOM.2010.5462081
  • Filename
    5462081