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Stability Analysis of a MAP/M/s Cluster Model by Matrix-Analytic Method

机译:MAP / M / s聚类模型稳定性的矩阵分析法

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In this paper, we study the stability conditions of the mul-tiserver system in which each customer requires a random number of servers simultaneously and a random service time, identical at all occupied servers. We call it cluster model since it describes the dynamics of the modern multicore high performance clusters (HPC). Stability criterion of an M/M/s cluster model has been proved by the authors earlier. In this work we, again using the matrix-analytic approach, prove that the stability criterion of a more general MAP/M/s cluster model (with Markov Arrival Process) has the same form as for M/M/s system. We verify by simulation that this criterion (in an appropriate form) allows to delimit stability region of a MAP/PH/s cluster model with phase-type (PH) service time distribution. Finally, we discuss asymptotic results related to accelerated stability verification, as well as to the new method of accelerated regenerative estimation of the performance metrics.
机译:在本文中,我们研究了多服务器系统的稳定性条件,其中每个客户同时需要随机数量的服务器和随机的服务时间,所有占用的服务器都相同。我们称其为集群模型,因为它描述了现代多核高性能集群(HPC)的动态。早先的作者已经证明了M / M / s集群模型的稳定性准则。在这项工作中,我们再次使用矩阵分析方法,证明了更通用的MAP / M / s集群模型(使用马尔可夫到达过程)的稳定性准则具有与M / M / s系统相同的形式。我们通过仿真验证了该准则(以适当的形式)允许用相位类型(PH)服务时间分布来界定MAP / PH / s集群模型的稳定性区域。最后,我们讨论与加速稳定性验证有关的渐近结果,以及与性能指标的加速再生估计有关的新方法。

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