IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v21y1979i1p50-79.html
   My bibliography  Save this article

Discrete event simulation modelling of computer systems for performance evaluation

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0378475479901058
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/0378-4754(79)90105-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. George S. Fishman, 1968. "The Allocation of Computer Time in Comparing Simulation Experiments," Operations Research, INFORMS, vol. 16(2), pages 280-295, April.
    2. Thomas H. Naylor & J. M. Finger, 1967. "Verification of Computer Simulation Models," Management Science, INFORMS, vol. 14(2), pages 92-101, October.
    3. Michael A. Crane & Donald L. Iglehart, 1975. "Simulating Stable Stochastic Systems, IV: Approximation Techniques," Management Science, INFORMS, vol. 21(11), pages 1215-1224, July.
    4. Harry M. Markowitz, 1966. "Simulating with SIMSCRIPT," Management Science, INFORMS, vol. 12(10), pages 396-405, June.
    5. R. W. Conway, 1963. "Some Tactical Problems in Digital Simulation," Management Science, INFORMS, vol. 10(1), pages 47-61, October.
    6. Jay W. Forrester, 1968. "Industrial Dynamics--After the First Decade," Management Science, INFORMS, vol. 14(7), pages 398-415, March.
    7. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Richard E. Nance & Robert G. Sargent, 2002. "Perspectives on the Evolution of Simulation," Operations Research, INFORMS, vol. 50(1), pages 161-172, February.
    2. Pat-Anthony Federico & Paul W. Figliozzi, 1981. "Computer Simulation of Social Systems," Sociological Methods & Research, , vol. 9(4), pages 513-533, May.
    3. Song, Wheyming T. & Chih, Mingchang, 2010. "Extended dynamic partial-overlapping batch means estimators for steady-state simulations," European Journal of Operational Research, Elsevier, vol. 203(3), pages 640-651, June.
    4. Song, Wheyming Tina & Chih, Mingchang, 2013. "Run length not required: Optimal-mse dynamic batch means estimators for steady-state simulations," European Journal of Operational Research, Elsevier, vol. 229(1), pages 114-123.
    5. Halkos, George & Kevork, Ilias, 2002. "Confidence intervals in stationary autocorrelated time series," MPRA Paper 31840, University Library of Munich, Germany.
    6. Barry L. Nelson, 2004. "50th Anniversary Article: Stochastic Simulation Research in Management Science," Management Science, INFORMS, vol. 50(7), pages 855-868, July.
    7. Halkos, George & Kevork, Ilias, 2006. "Estimating population means in covariance stationary process," MPRA Paper 31843, University Library of Munich, Germany.
    8. Christopher J Lynch & Saikou Y Diallo & Hamdi Kavak & Jose J Padilla, 2020. "A content analysis-based approach to explore simulation verification and identify its current challenges," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-33, May.
    9. Song, Wheyming Tina, 2019. "The Song rule outperforms optimal-batch-size variance estimators in simulation output analysis," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1072-1082.
    10. Enver Yücesan, 1993. "Randomization tests for initialization bias in simulation output," Naval Research Logistics (NRL), John Wiley & Sons, vol. 40(5), pages 643-663, August.
    11. Song, Wheyming Tina, 1996. "On the estimation of optimal batch sizes in the analysis of simulation output," European Journal of Operational Research, Elsevier, vol. 88(2), pages 304-319, January.
    12. Günter Küppers & Johannes Lenhard, 2005. "Validation of Simulation: Patterns in the Social and Natural Sciences," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 8(4), pages 1-3.
    13. Masechaba Nthunya & Nien-Tsu Tuan & Corrinne Shaw & Ian Jay, 2017. "A Systemic Exploration of Lesotho’s Basic Education through Interactive Management," Systemic Practice and Action Research, Springer, vol. 30(3), pages 257-276, June.
    14. Spinelli, Raffaele & Magagnotti, Natascia, 2010. "A tool for productivity and cost forecasting of decentralised wood chipping," Forest Policy and Economics, Elsevier, vol. 12(3), pages 194-198, March.
    15. Xuefei Lu & Alessandro Rudi & Emanuele Borgonovo & Lorenzo Rosasco, 2020. "Faster Kriging: Facing High-Dimensional Simulators," Operations Research, INFORMS, vol. 68(1), pages 233-249, January.
    16. Kleijnen, Jack P.C., 1992. "Sensitivity analysis of simulation experiments: regression analysis and statistical design," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 34(3), pages 297-315.
    17. Sahar AlMashaqbeh & Jose Eduardo Munive-Hernandez, 2023. "Risk Analysis under a Circular Economy Context Using a Systems Thinking Approach," Sustainability, MDPI, vol. 15(5), pages 1-17, February.
    18. Luis Camilo Ortigueira-Sánchez, 2017. "Influencing factors on citizen safety perception: systems and broken windows theories," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 14(1), pages 95-111, March.
    19. Jacques Fontanel, 1982. "Introduction. Military expenditures and Economic Growth (France, Morocco)," Post-Print hal-03264692, HAL.
    20. David C. Lane, 2022. "Fons et origo: reflections on the 60th anniversary of Industrial Dynamics," System Dynamics Review, System Dynamics Society, vol. 38(3), pages 292-324, July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:matcom:v:21:y:1979:i:1:p:50-79. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/mathematics-and-computers-in-simulation/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.