A SIMULATION MODEL FOR DATA SYSTEM ANALYSIS.
RAND CORP SANTA MONICA CA
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The paper develops the thesis that data system designers can bring their profession closer to a predictive science. Only by adapting, for the purpose of data system analysis, analytical tools which make possible prediction and quantification of data system behavior within the management system structure can this be done. The paper discusses one such tool, a generalized data system model, and describes a technique of simulating dynamic system operation with such a model in order to provide the data system designer insights on the behavior to expect from the data system as it would operate. Some of the benefits possible through such simulation are explored. The paper concludes that the major use for the present of this analytical technique is to test the feasibility of a data system design before acquisition of actual hardware. Author
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