• DocumentCode
    3530416
  • Title

    Dynamics of heterogeneous peer-to-peer networks

  • Author

    Paganini, Fernando ; Ferragut, Andres ; Zubeldia, Martin

  • Author_Institution
    Univ. ORT Uruguay, Montevideo, Uruguay
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    3293
  • Lastpage
    3298
  • Abstract
    The most tractable models of population dynamics in peer-to-peer file sharing systems apply to a single class of peers with homogeneous network access parameters. When upload bandwidths are heterogeneous, reciprocity mechanisms lead to non-uniform download rates and a more complex multi-class dynamics. We consider first a model where mutual download bandwidths are allocated in proportion to the upload speed, plus a uniformly distributed server component. For an ordinary differential equation model of the multi-class peer populations, we characterize the equilibrium and establish its global stability, invoking results from monotone systems. We also analyze a partial differential equation model that tracks download progress of the populations; we establish the local asymptotic stability of the equilibrium. Finally, we extend the ODE model to include a mix of proportional and uniform bandwidth allocation, which better describes the mechanisms of BitTorrent systems; again we characterize equilibrium configurations and give a partial result on local stability.
  • Keywords
    partial differential equations; peer-to-peer computing; BitTorrent systems; global stability; local asymptotic stability; monotone systems; network access parameters; nonuniform download rates; ordinary differential equation model; partial differential equation model; peer-to-peer file sharing systems; peer-to-peer networks; proportional bandwidth allocation; reciprocity mechanisms; uniform bandwidth allocation; Asymptotic stability; Bandwidth; Mathematical model; Peer-to-peer computing; Sociology; Stability analysis; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
  • Conference_Location
    Firenze
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-5714-2
  • Type

    conf

  • DOI
    10.1109/CDC.2013.6760386
  • Filename
    6760386