两级阻塞串联排队系统的分析与仿真

E. Yücesoy, V. Saglam
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引用次数: 0

摘要

−本文给出并分析了一种新的阻塞串联排队模型。该排队模型的到达过程是带参数的泊松过程。系统第一阶段有1个服务单元,该服务单元的服务时间以指数形式分布,参数为:在第二阶段有两个并行服务单元,服务单元的服务时间以参数为,指数分布,参数为,指数分布,参数为,指数分布。在系统的第一阶段不允许排队。在完成第一阶段的服务后,如果至少有一个第二阶段的服务单元可用,客户就可以进入第二阶段。如果第二阶段的两个业务单元都很忙,客户就会阻塞第一阶段的业务单元,造成损失。该排队系统最重要的性能度量是损失概率。首先得到系统的状态概率,然后利用这些概率得到系统的稳态分布。利用稳态概率计算了系统的跃迁概率,最后得到了系统的跃迁概率方程。此外,另一个性能度量,即客户的平均数量,是根据转移概率得到的。由于方程式非常复杂,我们采用数值方法来计算最小的方程式𝑙𝑜𝑠𝑠的概率。通过数值最优计算,对排队系统进行了仿真,得到的数值最优计算结果与仿真结果趋于一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis and Simulation of a Two-Stage Blocked Tandem Queueing System
− In this paper, a new blocked tandem queueing model is given and analysed. The arrival process to this queueing model is Poisson with parameter 𝜆 . There is one service unit at the first stage of the system, and the service time of this unit is exponentially distributed with 𝜇 1 parameter. There are two parallel service units at the second stage, and the service time of these service units are exponentially distributed with parameters 𝜇 2 and 𝜇 3 . No queue is allowed at the first stage of the system. Upon completing service at the first stage, a customer proceeds to the second stage if at least one of the service units at the second stage is available. If both service units at the second stage are busy, the customer blocks the service unit at the first stage, which results in loss. The most important measure of performance of this queueing system is the loss probability 𝜋 𝑙𝑜𝑠𝑠 . First of all, the state probabilities of the system are obtained and then using these probabilities, the steady-state distribution of the system is obtained. Transition probabilities of the system are calculated by using steady-state probabilities, and finally an equation is obtained for 𝜋 𝑙𝑜𝑠𝑠 in terms of transition probabilities. Furthermore, another measure of performance, the mean number of customers, is obtained in terms of transition probabilities. Since the Equation for 𝜋 𝑙𝑜𝑠𝑠 is very complex, a numerical method is used to calculate the minimum 𝜋 𝑙𝑜𝑠𝑠 probabilities. After numerical optimal 𝜋 𝑙𝑜𝑠𝑠 calculations, a simulation of the queueing system is done, and it is seen that the obtained numerical 𝜋 𝑙𝑜𝑠𝑠 values tend to simulation results.
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