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Fast bounds for ATM quality of service parameters

机译:ATM质量参数的快速界限

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We demonstrate how fast estimates of quality of service parameters can be obtained for models of VBR traffic queuing in the buffer of an ATM multiplexer. The technique rests on conservative estimates of cell-loss ratios in the buffer. These are obtained through Martingale methods; the cell-loss ratio from a buffer of size x is bounded as Prob[cell-loss]/spl les/e/sup -u-/spl delta/x/. An estimate of the mean cell delay can also be derived from this. We discuss briefly the algorithms used to compute the bounds. One attraction of the method is that the speed of computation is independent of the number of sources present in the traffic stream arriving at the multiplexer. This gives great advantage over estimates derived from a complete solution of the model queueing problem: these generally require the analysis of matrices whose dimension is proportional to the number of sources present. We give an application using a model of bursty traffic proposed by Finnish Telecom: a Markovian traffic model in which burst and silence are geometrically distributed subject to a fixed maximum burst length. A demonstration of a prototype software package based on the above methods is included.
机译:我们展示了在ATM多路复用器的缓冲器中的VBR流量排队的模型可以获得服务质量参数的快速估计。该技术依赖于缓冲液中细胞损耗比的保守估计。这些通过Martingale方法获得;来自尺寸X缓冲液的细胞损失比界定为突清液[细胞损耗] / SPL LES / E / SUP-/ SPL DELTA / X /。对平均细胞延迟的估计也可以从此衍生出来。我们简要讨论用于计算界限的算法。该方法的一个吸引力是计算速度与在到达多路复用器的业务流中存在的源的数量无关。这对来自模型排队问题的完整解决方案的估计提供了很大的优势:这些通常需要对矩阵的分析,其维度与存在的源数量成比例。我们使用芬兰电信提出的突发流量模型给出了一个申请:一个马尔可夫交通模型,其中突发和沉默是几何分布到固定的最大突发长度。包括基于上述方法的原型软件包的演示。

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