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Queueing Model with Time-Phased Batch Arrivals

机译:具有分阶段到达时间的排队模型

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摘要

A novel multi-server queueing model with finite buffer and batch arrival of customers is considered. In contrast to the standard batch arrival when a whole batch arrives into the system at one epoch, we assume that the customers of a batch arrive one by one in exponentially distributed times. Service time is exponentially distributed. Flow of batches is the stationary Poisson arrival process. Batch size distribution is geometric. The number of batches, which can be admitted into the system simultaneously, is subject of control. The problem of maximizing the throughput of the system under the fixed value of the admissible probability of losing the arbitrary customer from admitted batch is considered. Analysis of the joint distribution of the number of batches and customers in the system and sojourn time distribution is implemented by means of the matrix technique and method of catastrophes.
机译:考虑了一种具有有限缓冲区和客户批量到达的新型多服务器排队模型。与整个批次在一个时期内到达系统时的标准批次到达相反,我们假设批次的客户以指数分布的时间一一到达。服务时间呈指数分布。批次流是固定的泊松到达过程。批次大小分布是几何的。可以同时进入系统的批次数量受控制。考虑了在允许的任意数量的客户从允许的批次中流失的可允许概率的固定值下最大化系统吞吐量的问题。借助矩阵技术和巨灾方法,对系统中批次和客户数量的联合分布以及停留时间分布进行了分析。

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