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Preemptive queueing system with randomized push-out mechanism

机译:具有随机推出机制的抢占式排队系统

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In this article considered a queueing theory model with limited buffer size, one service channel, and two incoming flows. In this model one of the flows has a power to preempt other tasks. We call it a high-priority flow. Another one is low-priority. This priority mechanism is realized in a two different ways. The first one is a preemptive priority, which allows high-priority packets to interrupt low-priority packets in service channel and push them out. The second one is a randomized push-out mechanism with probability alpha, which allows us to choose what type of packets should be pushed out of the system when it is full. In this article we provide an algorithm for computing statistical characteristics of the model for all values of push-out probability a. We have used generating functions method to simplify the system of linear equations. This method allows us to reduce the order of linear equations system from k(k + 1)/2 to (k + 1). As the result we have got two effects in this model. The first one is a linear behavior of loss probabilities in the model with low overload. The second one is a "closing" of a system for low-priority packets with high overload. (C) 2014 Elsevier B.V. All rights reserved.
机译:在本文中,我们考虑了一种具有有限缓冲区大小,一个服务通道和两个传入流的排队理论模型。在此模型中,其中一个流程有权抢占其他任务。我们称其为高优先级流程。另一个是低优先级。该优先级机制以两种不同的方式实现。第一个是抢占式优先级,它允许高优先级数据包中断服务通道中的低优先级数据包并将其推出。第二种是概率为alpha的随机推出机制,它使我们可以选择在系统已满时应从系统中推出哪种类型的数据包。在本文中,我们提供了一种算法,用于针对所有推出概率a的值计算模型的统计特征。我们使用了生成函数方法来简化线性方程组。这种方法使我们可以将线性方程组的阶数从k(k + 1)/ 2减少到(k + 1)。结果,在此模型中我们得到了两个效果。第一个是低过载模型中损失概率的线性行为。第二个是“关闭”系统以处理具有高过载的低优先级数据包。 (C)2014 Elsevier B.V.保留所有权利。

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