An analysis of time-sharing computer systems using Markov models

J. L. Smith
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引用次数: 29

Abstract

The development of RQA (Recursive Queue Analyzer), a program for the numerical solution of the stationary distribution of large scale Markov processes, has made possible the accurate analysis of large stochastic systems with modest computational costs. In particular, time-shared computer systems with their random program and user characteristics are examples of systems which can be modeled as multidimensional Markov queueing processes and analyzed by the method. Having obtained a solution for the limiting state probabilities of the model using RQA, one can readily derive many time average performance and usage characteristics. Thus a useful tool is available to provide guides in the design and modification of such systems and to forecast user response and system capacity in terms of the number of users and the operating statistics.
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利用马尔可夫模型对分时计算机系统进行分析
RQA(递归队列分析器)是一种大规模马尔可夫过程平稳分布的数值解程序,它的开发使得以适度的计算成本对大型随机系统进行精确分析成为可能。特别是,具有随机程序和用户特征的分时计算机系统是可以建模为多维马尔可夫排队过程并使用该方法进行分析的系统的例子。在使用RQA获得模型的极限状态概率解后,可以很容易地推导出许多时间平均性能和使用特性。这样,就有了一个有用的工具,为设计和修改这种系统提供指导,并根据用户数量和运行统计数据预测用户的反应和系统容量。
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