• DocumentCode
    948709
  • Title

    Long-range dependence does not necessarily imply non-exponential tails

  • Author

    Makowski, Armand M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Maryland Univ., College Park, MD, USA
  • Volume
    6
  • Issue
    12
  • fYear
    2002
  • Firstpage
    550
  • Lastpage
    552
  • Abstract
    We exhibit a buffer model with a provably long-range dependent input source but whose corresponding measure of buffer occupancy is exponentially distributed (and thus has exponential tails). This example invalidates the perception which has emerged in the literature on traffic engineering, that long-range dependencies necessarily induce nonexponential tails for the buffer asymptotics.
  • Keywords
    buffer storage; statistical analysis; telecommunication traffic; buffer asymptotics; buffer model; buffer occupancy; exponential tails; long-range dependence; long-range dependent input source; on-off fluid models; traffic engineering; Asynchronous transfer mode; Brownian motion; Ethernet networks; Predictive models; Probability distribution; Tail; Telecommunication traffic; Time measurement; Traffic control; Wide area networks;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2002.806452
  • Filename
    1134141