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The MAP/PH/1/N queue with flows of customers as a model for traffic control in telecommunication networks

机译:带有客户流的MAP / PH / 1 / N队列作为电信网络中流量控制的模型

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摘要

A single-server queueing model with finite buffer and flows of customers is considered. Flow means a group of customers which should be sequentially processed in the system. In contrast to the standard batch arrival when a whole group of customers arrives into the system at one epoch, we assume that the customers of an accepted flow arrive one by one in exponentially distributed times. Service time has Phase type (PH) distribution. Generation of flows is described by the Markov Arrival Process (MAP). A flow consists of a random number of customers. This number is geometrically distributed and is not known at a flow arrival epoch. The number of flows, which can be admitted into the system simultaneously, is subject to control. Accepted flow can be lost, with a given probability, in the case of any customer from this flow rejection. Analysis of the joint distribution of the number of flows and customers in the system, flow loss probability and sojourn time distribution is implemented by means of the matrix technique and method of catastrophes. The effect of control on the main performance measures of the system is demonstrated numerically. The influence of correlation in the arrival process of flows, variation of service time and probability of a flow loss in case of any customer from this flow rejection is illustrated.
机译:考虑具有有限缓冲区和客户流的单服务器排队模型。流是指应在系统中顺序处理的一组客户。与标准批到达(当整个客户群在一个时期内到达系统)相反,我们假设接受流的客户以指数分布的时间一一到达。服务时间具有阶段类型(PH)分布。流的生成由马尔可夫到达过程(MAP)描述。流程包含随机数量的客户。该数字是几何分布的,并且在流量到达时期未知。可以同时允许进入系统的流量数量受控制。对于任何拒绝这种流量的客户,接受的流量可能会以给定的概率丢失。利用矩阵技术和巨灾方法对系统中流量和用户数量,流量损失概率和停留时间的联合分布进行了分析。数值论证了控制对系统主要性能指标的影响。说明了流量到达过程中相关性的影响,服务时间的变化以及任何客户因这种流量拒绝而导致流量损失的可能性。

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