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Discrete-time bulk-service queue with two heterogeneous servers

机译:具有两个异构服务器的离散时间批量服务队列

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This paper analyzes a discrete-time bulk-service queueing system with two heterogeneous servers, i.e., two batch servers working with different service rates. The interarrival times of customers and service times of batches are assumed to be independent and geometrically distributed. Applications can be found in a wide variety of real systems including servers formed with different types of processors as a consequence of system updates, nodes in telecommunications network with links of different capacities, nodes in wireless systems serving different mobile users. We obtain closed-form expressions for the steady-state probabilities at arbitrary epoch with the help of displacement operator method and derive the outside observer's observation epoch probabilities and waiting time distribution measured in slots. Computational experiences with a variety of numerical results in the form of tables and graphs are discussed. Moreover, some queueing models discussed in the literature are derived as special cases of our model. Finally, it is shown that in the limiting case the results obtained in this paper tend to the continuous-time counterpart.
机译:本文分析了一个具有两个异构服务器的离散时间批量服务排队系统,即两个服务速率不同的批处理服务器。假定客户的到达时间和批服务时间是独立的,并且几何分布。可以在各种各样的实际系统中找到应用程序,包括由于系统更新而由不同类型的处理器形成的服务器,电信网络中具有不同容量链接的节点,为不同移动用户服务的无线系统中的节点。我们借助位移算子方法获得了任意时期的稳态概率的闭式表达式,并得出了外部观察者的观察时期概率和在时隙中测得的等待时间分布。讨论了以表格和图表形式的各种数值结果的计算经验。此外,一些文献中讨论的排队模型是我们模型的特殊情况。最后,表明在极限情况下,本文获得的结果倾向于连续时间。

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