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Performance Evaluation of a Single Node with General Arrivals and Service

机译:具有一般到达和服务的单个节点的性能评估

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Queueing delays experienced by packets buffered at a node are among the most difficult to predict when considering the performance of a flow in a network. The arrivals of packets at a node tend to be highly variable so that a finite-buffer single-server queue with general arrivals and service emerges as a natural model of a network link. In this paper we propose an approach to the solution of such a queue when the times between arrivals and service times are represented as acyclic phase-type distributions. The proposed solution approach, based on the use of conditional probabilities, is conceptually simple, easy to implement in a standard computer language, numerically robust and reasonably fast. In addition to standard steady-state probabilities and queue size averages, the proposed approach produces the probabilities of the state of the queue found by an arriving packet, in particular, the packet loss probability, directly linked to the QoS perceived by the user.
机译:当考虑网络中的流性能时,最难预测的是节点处缓冲的数据包所经历的排队延迟。数据包在节点上的到达趋向于高度可变,因此具有一般到达和服务的有限缓冲区单服务器队列作为网络链路的自然模型出现。在本文中,当到达和服务时间之间的时间表示为非循环相位类型分布时,我们提出了一种解决此类队列的方法。基于条件概率的使用,所提出的解决方案在概念上很简单,易于用标准计算机语言实现,在数值上也很健壮并且相当快。除了标准的稳态概率和队列大小平均值之外,所提出的方法还产生了到达的数据包发现的队列状态的概率,特别是数据包丢失概率,该概率直接与用户感知的QoS关联。

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