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Discrete event simulation modelling of computer systems for performance evaluation

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  • Leroudier, Jacques
  • Parent, Michel

Abstract

Performance evaluation through computer simulation consists of three separate phases once one has decided what questions must be answered. First of all, a model of the system, that is a simplification of its structure and its operation in time, has to be described in terms of a computer program. The basic principles of this description will be presented in Chapter II while the implementation languages will be reviewed in Chapter III. The second phase consists in collecting measurements during the execution of the program. This operation is very similar to the measurements of real systems and can be performed with a number of statistical techniques discussed in Chapter IV. Since “the purpose of a simulation experiment is to predict some aspect of reality” (Naylor), it is important to test this function to gain confidence in the results obtained. This problem and its various implications such as the modelling assumptions and random number generation are considered in the last chapter.

Suggested Citation

  • Leroudier, Jacques & Parent, Michel, 1979. "Discrete event simulation modelling of computer systems for performance evaluation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 21(1), pages 50-79.
  • Handle: RePEc:eee:matcom:v:21:y:1979:i:1:p:50-79
    DOI: 10.1016/0378-4754(79)90105-8
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    References listed on IDEAS

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    1. Thomas H. Naylor & J. M. Finger, 1967. "Verification of Computer Simulation Models," Management Science, INFORMS, vol. 14(2), pages 92-101, October.
    2. Michael A. Crane & Donald L. Iglehart, 1975. "Simulating Stable Stochastic Systems, IV: Approximation Techniques," Management Science, INFORMS, vol. 21(11), pages 1215-1224, July.
    3. Harry M. Markowitz, 1966. "Simulating with SIMSCRIPT," Management Science, INFORMS, vol. 12(10), pages 396-405, June.
    4. R. W. Conway, 1963. "Some Tactical Problems in Digital Simulation," Management Science, INFORMS, vol. 10(1), pages 47-61, October.
    5. Jay W. Forrester, 1968. "Industrial Dynamics--After the First Decade," Management Science, INFORMS, vol. 14(7), pages 398-415, March.
    6. Michael A. Crane & Donald L. Iglehart, 1975. "Simulating Stable Stochastic Systems: III. Regenerative Processes and Discrete-Event Simulations," Operations Research, INFORMS, vol. 23(1), pages 33-45, February.
    7. George S. Fishman, 1968. "The Allocation of Computer Time in Comparing Simulation Experiments," Operations Research, INFORMS, vol. 16(2), pages 280-295, April.
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