• DocumentCode
    1671451
  • Title

    Heavy traffic multiplexing behavior of highly-bursty heterogeneous sources and their admission control in high-speed networks

  • Author

    Sohraby, Khosrow

  • Author_Institution
    IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
  • fYear
    1992
  • Firstpage
    1518
  • Abstract
    Highly bursty heterogeneous sources, their heavy traffic multiplexing behavior, and their admission control in high-speed networks are discussed. The mathematical model used consists of a discrete-time queue which is fed by the superposition of the nonidentical three-state ternary Markov sources, where each source is characterized by its utilization and the first two moments of its burst period. A simple characterization of the tail of the queue length distribution in the heavy traffic is obtained. This characterization provides a simple metric for call admission control in high-speed networks where the network resources are shared by different sources with highly different characteristics. The proposed metric for call admission control is ideal for real-time operation in a high-speed environment
  • Keywords
    Markov processes; multiplexing; queueing theory; telecommunication networks; telecommunication traffic; telecommunications control; admission control; bursty heterogeneous sources; discrete-time queue; heavy traffic multiplexing; high-speed networks; mathematical model; queue length distribution; real-time operation; ternary Markov sources; Admission control; Call admission control; Communication system traffic control; High-speed networks; Mathematical model; Multiplexing; Probability distribution; Tail; Traffic control; Video sharing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 1992. Conference Record., GLOBECOM '92. Communication for Global Users., IEEE
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-0608-2
  • Type

    conf

  • DOI
    10.1109/GLOCOM.1992.276643
  • Filename
    276643