• DocumentCode
    3411664
  • Title

    Real-time high percentile tracking of quasi-exponential delays

  • Author

    Sohraby, Khosrow ; Eckberg, A.E.

  • Author_Institution
    AT&T Bell Lab., Holmdel, NJ, USA
  • fYear
    1993
  • fDate
    1993
  • Firstpage
    850
  • Abstract
    In many applications certain parameters of a system should be set on the basis of some large percentiles of a delay random variable, for which the characteristics may not be known or may change slowly with time. Assuming that sample values of delays are available sequentially, the authors obtain a simple algorithm to track two key statistical characteristics of the delay. Any high percentile then may be approximated as a simple linear function of these parameters. The approach is based on a quasi-exponential assumption concerning the delays
  • Keywords
    approximation theory; delays; statistical analysis; algorithm; linear function; quasiexponential delays; queueing theory; real time high percentile; statistical characteristics; Algorithm design and analysis; Delay effects; Delay estimation; Probability distribution; Random variables; Robustness; Shape; Smoothing methods; Statistics; Tail;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM '93. Proceedings.Twelfth Annual Joint Conference of the IEEE Computer and Communications Societies. Networking: Foundation for the Future, IEEE
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-8186-3580-0
  • Type

    conf

  • DOI
    10.1109/INFCOM.1993.253283
  • Filename
    253283