• DocumentCode
    2281924
  • Title

    Σ-matching technique for MMPP modeling of heterogeneous ON-OFF sources

  • Author

    Kim, Sang-Baeg ; Lee, Myeong-Yong ; Kim, Min-Jeong

  • Author_Institution
    Networks Res. Lab., Korea Telecom Telecommun., Seoul, South Korea
  • Volume
    2
  • fYear
    1994
  • fDate
    28 Nov- 2 Dec 1994
  • Firstpage
    1090
  • Abstract
    It has been believed that the MMPP (Markov modulated Poisson process) model is inadequate for describing heterogeneous sources because of the complexity of the parameter matching. The authors develop a simple and good parameter matching technique, called the X-matching, for the MMPP modeling of heterogeneous ON-OFF sources. It is based upon the well known property of MMPPs that the superposition of MMPPs is MMPP; each traffic class is modeled by a 2-state MMPP using average matching and then their superposition becomes a 2L-state MMPP where L is the number of traffic classes. The authors evaluate the performance of the Σ-matching for various traffic classes
  • Keywords
    Markov processes; amplitude shift keying; asynchronous transfer mode; packet switching; queueing theory; stochastic processes; telecommunication traffic; Σ-matching technique; 2-state MMPP; 2L-state MMPP; MMPP modeling; Markov modulated Poisson process; X-matching; average matching; complexity; heterogeneous ON-OFF sources; heterogeneous sources; matching technique; parameter matching; performance; superposition; traffic class; Equations; Markov processes; Payloads; Performance analysis; Recursive estimation; State estimation; State-space methods; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 1994. GLOBECOM '94. Communications: The Global Bridge., IEEE
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-1820-X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.1994.512826
  • Filename
    512826