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Analysis of finite-buffer state-dependent bulk queues

机译:有限缓冲区状态相关的批量队列分析

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In this paper, we consider a general state-dependent finite-buffer bulk queue in which the rates and batch sizes of arrivals and services are allowed to depend on the number of customers in queue and service batch sizes. Such queueing systems have rich applications in manufacturing, service operations, computer and telecommunication systems. Interesting examples include batch oven processes in the aircraft and semiconductor industry; serving of passengers by elevators, shuttle buses, and ferries; and congestion control mechanisms to regulate transmission rates in packet-switched communication networks. We develop a unifying method to study the performance of this general class of finite-buffer state-dependent bulk queueing systems. For this purpose, we use semi-regenerative analysis to develop a numerically stable method for calculating the limiting probability distribution of the queue length process. Based on the limiting probabilities, we present various performance measures for evaluating admission control and batch service policies, such as the loss probability for an arriving group of customers and for individual customers within a group. We demonstrate our method by means of numerical examples.
机译:在本文中,我们考虑一个通用的状态相关的有限缓冲区批量队列,其中到达和服务的速率和批处理大小取决于队列中的客户数量和服务批处理大小。这样的排队系统在制造,服务运营,计算机和电信系统中具有丰富的应用。有趣的例子包括飞机和半导体工业中的间歇式烘箱工艺;通过电梯,穿梭巴士和渡轮为乘客服务;拥塞控制机制来调节分组交换通信网络中的传输速率。我们开发了一种统一的方法来研究这种通用的有限状态依赖状态大容量排队系统类的性能。为此,我们使用半再生分析来开发一种数值稳定的方法来计算队列长度过程的极限概率分布。基于限制概率,我们提出了各种性能评估指标,用于评估准入控制和批处理服务策略,例如到达客户群和该群组中单个客户的损失概率。我们通过数值示例来证明我们的方法。

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