• DocumentCode
    1809417
  • Title

    Analyzing Internet Packet Traces using Lindley´s Recursion

  • Author

    Fischer, Martin J. ; Masi, Denise M Bevilacqua

  • Author_Institution
    Mitretek Syst., Inc., Falls Church, VA
  • fYear
    2006
  • fDate
    3-6 Dec. 2006
  • Firstpage
    2195
  • Lastpage
    2201
  • Abstract
    Internet trace packet data for a given network link contains information on each packet´s arrival time and size. An important problem is to model the congestion packets experienced over the collection period. Recent research has utilized a relationship from queueing theory known as Lindley´s recursion to model packet congestion. This relationship has existed for 50 years and has been quite beneficial in analyzing these traces. We report on our use of Lindley´s recursion to analyze publicly-available link data from the Abilene network, an Internet2 backbone network. We extend the use of Lindley´s Recursion and include a discussion of the computational problems, numerical evaluation of trace packet performance and potential modeling issues, and a statistical investigation of the independence of packet interarrival times. In addition, we show how Lindley´s recursion can be used to extend the baseline analysis to interject Voice over Internet Protocol (VoIP) packets into the trace
  • Keywords
    Internet telephony; queueing theory; Abilene network; Internet packet traces; Lindley´s recursion; Voice over Internet Protocol packets; congestion packets; packet interarrival times; publicly-available link data; queueing theory; Delay; Equations; IP networks; Internet; Jitter; Performance analysis; Queueing analysis; Statistical distributions; Traffic control; US Government;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference, 2006. WSC 06. Proceedings of the Winter
  • Conference_Location
    Monterey, CA
  • Print_ISBN
    1-4244-0500-9
  • Electronic_ISBN
    1-4244-0501-7
  • Type

    conf

  • DOI
    10.1109/WSC.2006.323021
  • Filename
    4117869