Retrial queue of BMAP/PH/N type with customers balking, impatience and non-persistence

A. Dudin, V. Klimenok
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引用次数: 10

Abstract

We consider a multi-server retrial queueing system with the Batch Markovian Arrival Process and phase type service time distribution. Such a quite general queueing system suits for modeling, e.g., modern wireless communication networks. We assume that arriving customers, which do not succeed to start the service immediately upon arrival due to the lack of available servers, may leave the system forever (balk) or join the orbit for further retrials. Customers in the orbit are impatient (they may leave the system forever after exponentially distributed duration of the stay in the orbit) and non-persistent (they may leave the system forever after any unsuccessful attempt to reach the service). Approach by V. Ramaswami and D. Lucantoni for description of several independent Markov processes in parallel that allows to compute the stationary distribution of the system for large number of servers is used along with the results for multi-dimensional asymptotically quasi-Toeplitz Markov chains for computation of steady state distribution of the system states and some its performance measures.
BMAP/PH/N型重审队列,客户犹豫、不耐烦、不坚持
考虑一个具有批处理马尔可夫到达过程和阶段型服务时间分配的多服务器重试排队系统。这种相当通用的排队系统适合于建模,例如现代无线通信网络。我们假设到达的客户,由于缺乏可用的服务器而无法在到达后立即成功启动服务,可能会永远离开系统(犹豫)或加入轨道以进行进一步的重试。轨道上的客户是不耐烦的(他们可能在停留在轨道上的时间呈指数分布后永远离开系统)和不持久的(他们可能在任何不成功的尝试到达服务后永远离开系统)。V. Ramaswami和D. Lucantoni对多个独立马尔可夫过程的并行描述方法,允许计算大量服务器系统的平稳分布,并将多维渐近拟toeplitz马尔可夫链的结果用于计算系统状态的稳态分布及其一些性能度量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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