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Further Investigations of the Priority Queuing System with Preemptive Priority and Randomized Push-Out Mechanism

机译:具有优先抢占和随机推出机制的优先排队系统的进一步研究

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This article is written about a queuing theory models with limited buffer size and one service channel with two incoming flows. One of the flows is more important than another flow. In this article we prefer to call packets of these flows as priority and non-priority packets. This priority can be realized as a preemptive priority, which allows high-priority packets to take place in system queue closer to service channel and push-out low-priority packets out of service channel or as a randomized push-out, which allows to push out non-priority packets out of the system when it is full. Authors present in this article algorithm for computing statistical characteristics of the model for all values of push-out probability α. For getting solution is used generating functions method. This method reduces size of linear equations system from k(k+1)/2 to (k+1). Using this method allowed authors to study model behavior for all load values from 0 to 4 by first and second incoming flows. In this article provided zones of model "closing" for non-priority packets. Also authors considered a relative deviation of loss probability and it's approximation by linear law depending on push-out probability a to get areas of possible using linear law for approximating results of changing this push-out probability.
机译:本文是关于一种排队理论模型的,该模型具有有限的缓冲区大小和一个具有两个传入流的服务通道。其中一个流比另一个流更重要。在本文中,我们更喜欢将这些流的数据包称为优先级和非优先级数据包。可以将这种优先级实现为抢占式优先级,即允许在系统队列中更靠近服务信道的地方发生高优先级数据包,将低优先级的数据包从服务信道中推出,或者被实现为随机推送,从而允许推送当非优先级数据包已满时,会将其从系统中排除。本文的作者提出了用于针对所有推出概率α的值计算模型的统计特征的算法。为了获得解决方案,使用了生成函数方法。该方法将线性方程组的大小从k(k + 1)/ 2减小到(k + 1)。使用此方法,作者可以通过第一个和第二个输入流来研究从0到4的所有负载值的模型行为。在本文中,为非优先级数据包提供了“关闭”模型的区域。作者还考虑了损失概率的相对偏差,并且根据推出概率a通过线性定律进行了近似,以便使用线性定律来获得可能的面积,以近似更改该推出概率的结果。

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