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Analysis and computation of the stationary distribution in a special class of Markov chains of level-dependent M/G/1-type and its application to BMAP/M/∞ and BMAP/M/c+M queues

机译:依赖于水平的M / G / 1型马尔可夫链的特殊类的平稳分布的分析与计算及其在BMAP / M /∞和BMAP / M / c + M队列中的应用

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This paper considers a special class of continuous-time Markov chains of level-dependent M/G/1-type, where block matrices representing downward jumps in the infinitesimal generator are nonsingular. This special class naturally arises in the analysis of BMAP/M/∞ queues and BMAP/M/c queues with exponential impatience times (BMAP/M/c+M). We first formulate the boundary probability vector in terms of a solution of a system of infinitely many linear inequalities. We then reveal that in the above special class, this infinite system is regarded as a nested sequence of simplices, and we identify their vertices. Based on these results, we develop a simple yet efficient computational algorithm for the stationary distribution conditioned that the level is not greater than a predefined N. Note that for a large N, the conditional distribution will provide a good approximation to the stationary distribution. Some numerical examples for BMAP/M/∞ and BMAP/M/c+M queues are shown.
机译:本文考虑了一类特殊的,与水平相关的M / G / 1型连续时间马尔可夫链,其中表示无穷小生成器中向下跳跃的块矩阵是非奇异的。在分析具有指数不耐烦时间(BMAP / M / c + M)的BMAP / M /∞队列和BMAP / M / c队列时,自然会产生此特殊类。我们首先根据无限多个线性不等式系统的解来公式化边界概率向量。然后,我们揭示出在上述特殊类中,该无限系统被看作是单纯形的嵌套序列,并确定了它们的顶点。基于这些结果,我们为水平不大于预定义N的平稳分布开发了一种简单而有效的计算算法。请注意,对于较大的N,条件分布将提供对平稳分布的良好近似。显示了BMAP / M /∞和BMAP / M / c + M队列的一些数值示例。

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