A combination of analytical modeling and measurement is employed for the performance analysis of a multiprogrammed computer system. First, a cyclic queue model is developed for the system under study. Then, model validation is attempted in both controlled and normal environments. The success of the model is demonstrated by its prediction of performance improvements from system reconfigurations. Reasonable correlation between the measured performance and the model predictions under various degrees of multiprogramming is observed. Finally, possible system reconfigurations are explored with the insight gained from the performance analysis.
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