• DocumentCode
    1489226
  • Title

    Software library for analysing M/G/1-type systems and its application in computer network performance evaluation

  • Author

    Conti, M. ; Gregori, E.

  • Author_Institution
    Ist. CNUCE, CNR, Pisa, Italy
  • Volume
    144
  • Issue
    4
  • fYear
    1997
  • fDate
    8/1/1997 12:00:00 AM
  • Firstpage
    237
  • Lastpage
    246
  • Abstract
    Analytical models are an important tool in providing a quantitative analysis of computer and communication systems. Matrix analytic techniques provide exact solutions for a general class of stochastic models named M/G/1-type models. These models can be used to study, for example, network switches with correlated arrival traffic and/or complex scheduling algorithms. However, the modelling effort using this technique can be difficult and time-consuming. The modelling effort can be drastically reduced by using appropriate software tools. The authors present the software library MG1TYPE for the analysis of M/G/1-type Markov chains. MG1TYPE is general, robust and computationally efficient. It provides a range of performance measurement figures including the distribution of the steady-state probabilities and its moments. Applications of MG1TYPE in the analysis of relevant computer communication problems are presented
  • Keywords
    Markov processes; computer networks; probability; queueing theory; software libraries; software tools; telecommunication computing; telecommunication traffic; M/G/1-type Markov chains; M/G/1-type models; M/G/1-type systems; MG1TYPE; communication systems; computer communication problems; computer network performance evaluation; computer systems; correlated arrival traffic; exact solutions; matrix analytic techniques; moments; network switches; performance measurement; quantitative analysis; scheduling algorithms; software library; software tools; steady state probability distribution; stochastic models;
  • fLanguage
    English
  • Journal_Title
    Communications, IEE Proceedings-
  • Publisher
    iet
  • ISSN
    1350-2425
  • Type

    jour

  • DOI
    10.1049/ip-com:19971261
  • Filename
    617982