• DocumentCode
    2691447
  • Title

    Measuring available path capacity using short probe trains

  • Author

    Nilsson, Martin

  • Author_Institution
    Swedish Inst. of Comput. Sci. (SICS), Kista, Sweden
  • fYear
    2010
  • fDate
    19-23 April 2010
  • Firstpage
    910
  • Lastpage
    913
  • Abstract
    It is well known that algorithms for measuring available path capacity at the IP layer by active probing tend to be more accurate when using long probe trains. This is due to the bias errors introduced by short probe trains. However, long trains have other disadvantages, such as delay, overhead, and increased risk for packet loss, especially for high probe rates. Router queue sizes also limit the maximum probe train length. In this paper, a robust method is proposed for reducing measurement bias caused by short probe trains. The method is robust in the sense that it gracefully handles lost packets and outliers, such as caused by non-Poisson cross traffic. The proposed method has been combined with the BART estimator for measuring available path capacity, and successfully tested in a multi-hop local IP network for industrial use. The principle should be generally applicable to estimators of available path capacity based on active probe trains.
  • Keywords
    IP networks; queueing theory; telecommunication network routing; BART estimator; IP layer; available path capacity; maximum probe train length; measurement bias reduction; multihop local IP network; nonPoisson cross traffic; packet loss; router queue sizes; short probe trains; Bandwidth; Capacitive sensors; IP networks; Probes; Robustness; Spread spectrum communication; Strain measurement; Telecommunication traffic; Testing; Traffic control; Available path capacity; active probing; available bandwidth; bias; end-to-end; probe train; robust estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Operations and Management Symposium (NOMS), 2010 IEEE
  • Conference_Location
    Osaka
  • ISSN
    1542-1201
  • Print_ISBN
    978-1-4244-5366-5
  • Electronic_ISBN
    1542-1201
  • Type

    conf

  • DOI
    10.1109/NOMS.2010.5488343
  • Filename
    5488343