NDLI: Validation criteria for computer system simulations

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Validation criteria for computer system simulations

Content Provider	ACM Digital Library
Author	Teorey, Toby J.
Abstract	Validation of computer system simulation models is a common concern of both the programmer/analyst and the decision maker. This paper addresses the question of what are the major characteristics of the empirical aspects of validation and how one might carry out such a validation process for complex computer system models. Validation is described in terms of verification of the authenticity of the random number and random variate generators and of the independent variables established for the model, a proper choice of dependent (response) variables to observe in both the simulation model and the actual system itself (i.e., two sets of data), a choice of statistical tests for comparing their distributional properties, and the ability to predict system performance based on future changes in the actual system configuration. The concepts of validation are clarified through the example of an actual detailed model constructed for the input/output subsystem for a Burroughs B6700 computer. A validation process is proposed which specifies data that should be collected from the simulation model, which relates experiences with obtaining the coordinate live test data from the actual system under consideration, and finally shows how statistical tests can be applied to verify or reject the hypothesis that both sets of data result from the same population. Empirical data is presented to aid in the understanding of the concepts.
Starting Page	161
Ending Page	173
Page Count	13
File Format	PDF
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	1975-08-12
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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