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Reusable Simulation Models for Performance Analysis of Intelligent Networks

  • Claes Wohlin
  • Christian Nyberg
  • Anders Larsson
Chapter
Part of the IFIP — The International Federation for Information Processing book series (IFIPAICT)

Abstract

New services will be introduced at a much faster rate than today when Intelligent Networks are employed. It is important to control the process of introducing services and be able to forecast the consequences of a new service. This paper describes a method for performance simulation based on reusable simulation models which can be used for this purpose. The method builds on dividing the simulation model into three parts describing architecture, software of services and usage of the services respectively. Services and nodes can be described on different abstraction levels. If a new service is introduced all the old parts of the simulation program can be reused.

References

  1. 1.
    Law, A. M. and McComas, M. G., “Simulation Software for Communication Networks: State of the Art”, IEEE Communications Magazine, March 1994, pp. 44–50, 1994.CrossRefGoogle Scholar
  2. 2.
    Saulnier, E. T. and Bortscheller, B. J., “Simulation Model Reusability”, IEEE Communications Magazine, March 1994, pp. 64–69, 1994.CrossRefGoogle Scholar
  3. 3.
    Verân, M. and Poiter, D., “QNAP2: A Portable Environment for Queueing Systems Modelling”, Technical Report, INRIA, France, 1984.Google Scholar
  4. 4.
    Whitt, W., “The Queueing Network Analyzer”, The Bell System Technical Journal, November, pp. 2779–2843, 1983.Google Scholar
  5. 5.
    Wohlin, C., “Software Reliability and Performance Modelling of Telecommunication Systems”, Dept. of Communication Systems, Lund University, Report no. 106, Ph.D. thesis, 1991.Google Scholar
  6. 6.
    Wohlin, C., “Evaluation of Software Quality Attributes during Software Design”, Informatica, Vol. 18, No. 1, pp. 55–70, 1994.Google Scholar
  7. 7.
    Wohlin, C. and Runeson, P., “Certification of Software Components”, IEEE Transactions on Software Engineering, Vol. 20, No. 6, pp. 494–499, 1994.CrossRefGoogle Scholar
  8. 8.
    Whittaker, J. A. and Poore, J. H., “Markov Analysis of Software Specifications”, ACM Transactions on Software Engineering Methodology, Vol. 2, No. 1, pp. 93–106, 1994.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 1997

Authors and Affiliations

  • Claes Wohlin
    • 1
  • Christian Nyberg
    • 1
  • Anders Larsson
    • 2
  1. 1.Dept. of Communication Systems Lund Institute of TechnologyLund UniversityLundSweden
  2. 2.Telia Research ABMalmöSweden

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