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A procedure to approximate the mean queue content in a discrete-time generalized processor sharing queue with Bernoulli arrivals

机译:在具有伯努利到达的离散时间广义处理器共享队列中近似平均队列内容的过程

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摘要

Generalized Processor Sharing is a notoriously hard model to analyze. In earlier work we derived an iterative procedure to calculate coefficients for a power series of the joint probability generating function of the stationary queue content. This procedure posed computational limitations on the possible number of coefficients calculable for the performance measures, such as mean queue content. In this paper, we propose a direct approach and derive a procedure to directly calculate the power series for these performance measures, thus eliminating the problems associated with the probability generating function. The result is a procedure of complexity O(N-3) to calculate the first N coefficients of the mean queue content. Finally, the approximations are compared and validated with simulations. (C) 2019 Elsevier B.V. All rights reserved.
机译:通用处理器共享是一个很难分析的模型。在较早的工作中,我们导出了一个迭代过程来计算固定队列内容的联合概率生成函数的幂级数的系数。该过程对性能度量可计算的系数的数量(例如平均队列内容)造成了计算限制。在本文中,我们提出了一种直接方法,并推导了直接计算这些性能指标的幂级数的过程,从而消除了与概率生成函数相关的问题。结果是复杂度为O(N-3)的过程,用于计算平均队列内容的前N个系数。最后,将近似值进行比较并通过仿真进行验证。 (C)2019 Elsevier B.V.保留所有权利。

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