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Network Calculus Delay Bounds in Queueing Networks with Exact Solutions

机译:具有精确解决方案的排队网络中的网络演算延迟界

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The purpose of this paper is to shed light on the accuracy of probabilistic delay bounds obtained with network calculus. In particular, by comparing calculus bounds with exact results in a series of M/M/1 queues with cross traffic, we show that reasonably accurate bounds are achieved when the percentage of cross traffic is low. We use recent results in network calculus and, in addition, propose novel bounds based on Doob's maximal inequality for supermartingales. In the case of single M/M/1 and M/D/1 queues, our results improve existing bounds by Ω(log(1-ρ)~(-1)/1-ρ) when the utilization factor ρ converges to one.
机译:本文的目的是阐明通过网络演算获得的概率延迟边界的准确性。特别是,通过将微积分边界与一系列具有交叉流量的M / M / 1队列中的精确结果进行比较,我们表明,当交叉流量的百分比较低时,可以实现合理准确的边界。我们在网络演算中使用了最新的结果,此外,基于杜宾对超级市场的​​最大不等式,提出了新颖的界限。在单个M / M / 1和M / D / 1队列的情况下,当利用率因子ρ收敛为1时,我们的结果将现有边界提高Ω(log(1-ρ)〜(-1)/1-ρ) 。

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