• DocumentCode
    3495025
  • Title

    A decomposition method for the exact analysis of circuit-switched networks

  • Author

    Conway, Adrian E. ; Pinsky, Eugene

  • Author_Institution
    GTE Lab. Inc., Waltham, MA, USA
  • fYear
    1992
  • fDate
    4-8 May 1992
  • Firstpage
    996
  • Abstract
    A general-purpose decomposition method is formulated for the exact analysis of blocking probabilities in multirate circuit-switched networks. The procedure is based on a decomposition and aggregation technique that exploits the sparsity that can be found in the routing matrix of a network. Use is also made of a recursive algorithm developed by the authors (see Ann. Oper. Res. vol.35, no.1-4, p.31-41, 1992). No special assumptions are made with regard to the structure of the network. By reducing the analysis to that of a set of interrelated subsystems and a reduced system, the overall dimensionality of the problem is diminished, and the computational costs are reduced significantly. This enables the efficient exact analysis of larger network models. An example is provided to illustrate the computational savings that can be realized
  • Keywords
    circuit switching; statistical analysis; telecommunication network routing; telecommunication networks; blocking probabilities; computational costs; decomposition and aggregation technique; exact analysis; general-purpose decomposition method; interrelated subsystems; multirate circuit-switched networks; overall dimensionality; recursive algorithm; reduced system; routing matrix; sparsity; Approximation methods; Bandwidth; Circuit analysis; Computational efficiency; Computer networks; Computer science; Laboratories; Matrix decomposition; Queueing analysis; Routing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM '92. Eleventh Annual Joint Conference of the IEEE Computer and Communications Societies, IEEE
  • Conference_Location
    Florence
  • Print_ISBN
    0-7803-0602-3
  • Type

    conf

  • DOI
    10.1109/INFCOM.1992.263448
  • Filename
    263448