• DocumentCode
    2236899
  • Title

    Good news about heavy tails [network traffic]

  • Author

    Charzinski, Joachim

  • Author_Institution
    Inf. & Commun. Networks, Siemens AG, Munich, Germany
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    535
  • Lastpage
    542
  • Abstract
    Heavy-tailed distributions have been widely found in traffic characteristics like connection volumes or connection durations in today´s data networks. The purpose of this paper is to show that these heavy-tailed distributions, besides the well-known undesirable features like producing self-similar, long-range dependent traffic, also exhibit desirable features in some cases. Two such cases are presented here: (1) the detection of flows in network traffic, making it possible to determine the right point in time to establish a shortcut connection for a flow. (2) the dimensioning of dial-in access servers where the blocking probability is actually reduced when the holding time variance increases
  • Keywords
    statistical analysis; telecommunication traffic; blocking probability; connection durations; connection volumes; data networks; dial-in access servers; heavy-tailed distributions; holding time variance; self-similar long-range dependent traffic; shortcut connection; traffic characteristics; Exponential distribution; Internet; Network servers; Power measurement; Probability distribution; Tail; Telecommunication traffic; Time measurement; Traffic control; Web server;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Switching and Routing, 2000. ATM 2000. Proceedings of the IEEE Conference on
  • Conference_Location
    Heidelberg
  • Print_ISBN
    0-7803-5884-8
  • Type

    conf

  • DOI
    10.1109/HPSR.2000.856705
  • Filename
    856705