Computer system performance evaluation : modeling, simulation and analysis



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The purpose of this dissertation research is to develop approaches for assessing performance characteristics of a computer system by discrete-event digital simulation and approximation methods. Knowing the capacity and limitations of the system enables one to manage it in a more cost-effective manner. This could in turn result in better assessibility and high system utilization. In this study, we restrict our attention to computers designed for performing specific tasks. The prototype example we used for this study is the Hewlett-Packard computer system located at the Veterans Administration Medical Center, Houston, Texas. The computer is for use in on-line analysis of electrocardiograms. In this study, we develop a stochastic model for approximating demands for services, test and validate the hypothesized underlying arrival processes, design a GPSS simulation model to approximate the operations of the computer systems, analyze the simulation outputs and derive approximation procedures to obtain numerical results. A common thread underlying the overall problem is the nonstationary characteristics of system parameters induced by the time-dependent nature of demands. For the arrival-time distribution, we use grafted polynomials to represent the mean arrival rate function of a non-homogenous Poisson process. To validate this hypothesized model, we translate the interarrival time data to their corresponding 'Poisson deviates', via the estimated integrated mean arrival rate function. [...]



Electronic digital computers--Evaluation