• DocumentCode
    291134
  • Title

    Estimating the loss probability in a multiplexer loaded with multi-priority MMPP streams

  • Author

    Fonseca, Nelson L S ; Silvester, John A.

  • Author_Institution
    Dept. of Electr. Eng.-Syst., Univ. of Southern California, Los Angeles, CA, USA
  • Volume
    2
  • fYear
    1993
  • fDate
    23-26 May 1993
  • Firstpage
    1037
  • Abstract
    Future broadband integrated service digital networks (B-ISDNs) will carry a wide spectrum of applications with different loss requirements. By adopting a multi-priority scheme at the cell level, flexibility is gained in coping with these diverse requirements in an efficient way. The issue of furnishing a multiclass selective discard mechanism is addressed. The loss probability per class is computed where each class is modeled as a two-state Markov modulated Poisson process (2-MMPP1... 2-MMPPnD/1/K queue). A multiple class buffer priority algorithm that has linear complexity as a function of the number of classes is used. The advantages of a multi-priority scheme as well as the effect of the burstiness on the loss probability are illustrated
  • Keywords
    B-ISDN; Markov processes; buffer storage; computational complexity; losses; multiplexing; probability; queueing theory; stochastic processes; B-ISDNs; Markov modulated Poisson process; broadband integrated service digital networks; buffer priority algorithm; burstiness; flexibility; linear complexity; loss probability per class; multi-priority scheme; multiclass selective discard mechanism; multiplexer; Aggregates; B-ISDN; ISDN; Intelligent networks; Multiplexing; Quality of service; Statistics; Streaming media; System performance; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 1993. ICC '93 Geneva. Technical Program, Conference Record, IEEE International Conference on
  • Conference_Location
    Geneva
  • Print_ISBN
    0-7803-0950-2
  • Type

    conf

  • DOI
    10.1109/ICC.1993.397427
  • Filename
    397427