Probabilistic fair queuing

T. Anker, R. Cohen, D. Dolev, Y. Singer
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引用次数: 4

Abstract

Packet scheduling constitutes the core problem in efficient fair allocation of bandwidth to competing flows. To date, numerous algorithms for packet scheduling have been suggested and tested. However, only a few of them are currently deployed. One of the key reasons for rarity of applied packet scheduling methods lies in the complexity of their implementation. This paper describes a family of randomized algorithms for packet scheduling. These algorithms are simple to implement and require small amounts of computation time. Specifically we present an O(1) probabilistic weighted fair queuing algorithm that emits packets from flows with an improved delay jitter. Experimental results of the proposed randomized algorithms suggest that the randomized approach is a viable alternative to the currently deployed deterministic fair queuing algorithms.
概率公平排队
分组调度是竞争流有效公平分配带宽的核心问题。迄今为止,已经提出并测试了许多包调度算法。但是,目前只部署了其中的几个。应用较少的数据包调度方法的一个关键原因在于其实现的复杂性。本文描述了一组用于分组调度的随机化算法。这些算法很容易实现,并且需要少量的计算时间。具体来说,我们提出了一种O(1)概率加权公平排队算法,该算法从具有改进延迟抖动的流中发出数据包。实验结果表明,随机化算法是目前部署的确定性公平排队算法的可行替代方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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