• DocumentCode
    1667528
  • Title

    Packet-pair bandwidth estimation: stochastic analysis of a single congested node

  • Author

    Kang, Seong-Ryong ; Liu, Xiliang ; Dai, Min ; Loguinov, Dmitri

  • Author_Institution
    Texas A&M Univ., College Station, TX, USA
  • fYear
    2004
  • Firstpage
    316
  • Lastpage
    325
  • Abstract
    We examine the problem of estimating the capacity of bottleneck links and available bandwidth of end-to-end paths under non-negligible cross-traffic conditions. We present a simple stochastic analysis of the problem in the context of a single congested node and derive several results that allow the construction of asymptotically-accurate bandwidth estimators. We first develop a generic queuing model of an Internet router and solve the estimation problem assuming renewal cross-traffic at the bottleneck link. Noticing that the renewal assumption on Internet flows is too strong, we investigate an alternative filtering solution that asymptotically converges to the desired values of the bottleneck capacity and available bandwidth under arbitrary (including non-stationary) cross-traffic. This is one of the first methods that simultaneously estimates both types of bandwidth and is provably accurate. We finish the paper by discussing the impossibility of a similar estimator for paths with two or more congested routers.
  • Keywords
    Internet; estimation theory; filtering theory; queueing theory; stochastic processes; telecommunication network routing; telecommunication traffic; Internet router; bandwidth estimation; end-to-end path; generic queuing model; single congested node; Bandwidth; Information filtering; Information filters; Internet; Sampling methods; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Protocols, 2004. ICNP 2004. Proceedings of the 12th IEEE International Conference on
  • ISSN
    1092-1648
  • Print_ISBN
    0-7695-2161-4
  • Type

    conf

  • DOI
    10.1109/ICNP.2004.1348121
  • Filename
    1348121