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A simple analysis of the batch arrival queue with infinite-buffer and Markovian service process using roots method: GI([X])/C-MSP/1/infinity

机译:使用根方法GI([X])/ C-MSP / 1 / infinity对具有无限缓冲区和Markovian服务过程的批处理到达队列进行简单分析

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摘要

We consider a batch arrival infinite-buffer single-server queue with generally distributed inter-batch arrival times with arrivals occurring in batches of random sizes. The service process is correlated and its structure is governed by a Markovian service process in continuous time. The proposed analysis is based on roots of the associated characteristic equation of the vector-generating function of system-length distribution at a pre-arrival epoch. We also obtain the steady-state probability distribution at an arbitrary epoch using the classical argument based on Markov renewal theory. Some important performance measures such as the average number of customers in the system and the mean sojourn time have also been obtained. Later, we have established heavy- and light-traffic approximations as well as an approximation for the tail probabilities at pre-arrival epoch based on one root of the characteristic equation. Numerical results for some cases have been presented to show the effect of model parameters on the performance measures.
机译:我们考虑批量到达的无限缓冲单服务器队列,该批量服务器具有大致分布的批量到达时间,且到达以随机大小的批次发生。服务过程是相关的,其结构由连续时间的马尔可夫服务过程控制。提出的分析基于到达前时期系统长度分布的矢量生成函数的相关特征方程的根。我们还使用基于马尔可夫更新理论的经典论点,获得了任意时期的稳态概率分布。还获得了一些重要的性能指标,例如系统中的平均客户数和平均停留时间。后来,我们根据特征方程的一个根建立了重交通和轻交通的近似值,以及到达前时期尾部概率的近似值。某些情况下的数值结果已经显示出来,以表明模型参数对性能指标的影响。

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