通过网络进行平均时延分析的网络微积分

F. Guillemin, R. Mazumdar, C. Rosenberg, Yu Ying
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引用次数: 0

摘要

本文提出了一种估计网络中(σ, ρ, π)调节流的平均时延性能的框架。我们首先证明了平均延迟性能可以被具有指数分布的关闭周期的开关型过程所限定。然后,我们得到了平均延迟的每流边界。我们证明了当没有峰值速率约束时,M/G/1队列的Pollaczek-Khinchine公式提供了一个紧界,从而建立了这类流的优于泊松性质。然后,我们考虑网络内的流动,并表明它们可以用随机突发参数来表征,并表明如何从调节流动的渐近优于泊松性质中限定总体性能。
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Network Calculus for Mean Delay Analysis Through a Network
In this paper, a framework is developed to estimate the mean delay performance of (σ, ρ, π) regulated flows in networks with acyclic routing. We first show that the mean delay performance can be bounded by on-off type processes with exponentially distributed off periods. We then obtain per-flow bounds on the mean delay. We show that when there is no peak rate constraint, the Pollaczek-Khinchine formula for M/G/1 queues provides a tight bound thus establishing the Better-than-Poisson property for such flows. We then consider flows inside a network and show that they can be characterized by a stochastic burstiness parameter and show how the aggregate performance can be bounded from the asymptotic Better-than-Poisson property of regulated flows.
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