Abstract
This paper presents a computationally tractable methodology for including accurately the effects of finite memory size and workload memory requirements in queueing network models of computer systems. Empirical analyses and analytic studies based on applying this methodology to an actual multiaccess interactive system are reported. Relations between workload variables such as memory requirement distribution and job swap time, and performance measures such as response time and memory utilization are graphically displayed. A multiphase, analytically soluble model is proposed as being broadly applicable to the analysis of interactive computer systems which use nonpaged memories.
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