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Stability of multi-path dual congestion control algorithms

机译:多路径双重拥塞控制算法的稳定性

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This paper investigates fair, scalable, stable congestion controls which achieve high bandwidth utilisation over networks of operating multi-path routing. The aim is to take advantage of path diversity to achieve efficient bandwidth allocation without causing instability. Two multi-path extensions to the class of dual algorithms are considered. The first is a natural extension previously proposed in the literature, which we show to be similar to a continuous time sub-gradient method for solving a network-wide optimisation problem. We establish that the continuous time fluid model possesses a weak stability property. This analysis assumes the absence of propagation delays. We then show that when propagation delays are present, even the weak stability property disappearsWe develop an alternative multi-path extension of the dual algorithm, which considers path diversity when evaluating fairness. This algorithm is shown to be globally stable in the absence of propagation delays and a sufficient condition for local stability, when heterogeneous propagation delays are present, is found. The sufficient condition we present is decentralised in the following sense: the gain parameter for each dynamic variable is restricted by the average round-trip time of packets passing through the link or source it represents, but not by the round-trip times of any other packets. The delay stability analysis is an extension of results for single-path congestion control. It is obtained by treating possible routes that belong to a given origin-destination pair as behaving as separate sources which pass through a virtual link located at the origin.The models considered apply to networks consisting of arbitrary interconnections of sources and links, with arbitrary, heterogeneous propagation delays.
机译:本文研究了公平,可扩展,稳定的拥塞控制,这些控制可在运行多路径路由的网络上实现高带宽利用率。目的是利用路径分集来实现有效的带宽分配而不会引起不稳定。考虑了对偶算法类别的两个多路径扩展。第一个是先前在文献中提出的自然扩展,我们证明它类似于解决网络范围内优化问题的连续时间子梯度方法。我们建立了连续时间流体模型具有较弱的稳定性。该分析假设不存在传播延迟。然后,我们表明当存在传播延迟时,即使是弱的稳定性也消失了。我们开发了对偶算法的另一种多路径扩展,它在评估公平性时考虑了路径的多样性。该算法显示在没有传播延迟的情况下是全局稳定的,并且当存在异构传播延迟时,可以找到局部稳定的充分条件。我们在以下意义上分散了充分的条件:每个动态变量的增益参数受通过其表示的链路或源的数据包的平均往返时间限制,但不受其他任何往返时间的限制包。延迟稳定性分析是单路径拥塞控制结果的扩展。它是通过将属于给定起点/终点对的可能路由视为单独的源,并经过位于起点的虚拟链接来获得的。所考虑的模型适用于由任意互连组成的网络源和链接,具有任意的异构传播延迟。

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