利用网络微积分进行接纳整形

Anne Bouillard
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引用次数: 0

摘要

有几种技术可用于计算先进先出网络中的确定性能界限。就网络计算而言,最常用的是总流量分析法(TFA)。它的优点是算法效率高,精度可接受,并适用于一般拓扑结构。不过,处理循环依赖关系主要是针对令牌桶到达曲线。此外,在很多情况下,流量在进入网络时就已经形成,而网络分析并不能充分利用这一点。在这封信中,我们将这一方法推广到片断线性凹到达曲线,并在多个流量进入网络时对其进行整形。我们通过数值评估表明,性能界限得到了极大改善。
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Admission Shaping With Network Calculus
Several techniques can be used for computing deterministic performance bounds in FIFO networks. The most popular one, as far as Network Calculus is concerned, is Total Flow Analysis (TFA). Its advantages are its algorithmic efficiency, acceptable accuracy and adapted to general topologies. However, handling cyclic dependencies is mostly solved for token-bucket arrival curves. Moreover, in many situations, flows are shaped at their admission in a network, and the network analysis does not fully take advantage of it. In this letter, we generalize the approach to piece-wise linear concave arrival curves and to shaping several flows together at their admission into the network. We show through numerical evaluation that the performance bounds are drastically improved.
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Table of Contents IEEE Networking Letters Author Guidelines IEEE COMMUNICATIONS SOCIETY IEEE Communications Society Optimal Classifier for an ML-Assisted Resource Allocation in Wireless Communications
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