• DocumentCode
    1631361
  • Title

    Stable, distributed P2P protocols based on random peer sampling

  • Author

    Oguz, Barlas ; Anantharam, Venkat ; Norros, Ilkka

  • Author_Institution
    EECS Dept., Univ. of California Berkeley, Berkeley, CA, USA
  • fYear
    2012
  • Firstpage
    915
  • Lastpage
    919
  • Abstract
    In a peer-to-peer file sharing system based on random contacts where the upload capacity of the seed is small, a single chunk of the file may become rare, causing an accumulation of peers who lack the rare chunk. To prevent this from happening, we propose a protocol where each peer samples a small population of peers and makes an intelligent decision to pick which chunk to download based on this sample. We prove that the resulting system is stable under any arrival rate of peers even if the seed has small, bounded upload capacity.
  • Keywords
    peer-to-peer computing; protocols; distributed P2P protocols; intelligent decision; peer-to-peer file sharing system; random peer sampling; Bismuth; Lyapunov methods; Markov processes; Peer-to-peer computing; Protocols; Silicon; Stability analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication, Control, and Computing (Allerton), 2012 50th Annual Allerton Conference on
  • Conference_Location
    Monticello, IL
  • Print_ISBN
    978-1-4673-4537-8
  • Type

    conf

  • DOI
    10.1109/Allerton.2012.6483316
  • Filename
    6483316