Congestion Minimization for Multipath Routing via Multiroute Flows

C. Chekuri, Mark Idleman
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引用次数: 2

Abstract

Congestion minimization is a well-known routing problem for which there is an O(log n/loglog n)-approximation via randomized rounding due to Raghavan and Thompson. Srinivasan formally introduced the low-congestion multi-path routing problem as a generalization of the (single-path) congestion minimization problem. The goal is to route multiple disjoint paths for each pair, for the sake of fault tolerance. Srinivasan developed a dependent randomized scheme for a special case of the multi-path problem when the input consists of a given set of disjoint paths for each pair and the goal is to select a given subset of them. Subsequently Doerr gave a different dependentrounding scheme and derandomization. Doerr et al. considered the problem where the paths have to be chosen, and applied the dependent rounding technique and evaluated it experimentally. However, their algorithm does not maintain the required disjointness property without which the problem easily reduces to the standard congestion minimization problem. In this note we show a simple algorithm that solves the problem correctly without the need for dependent rounding --- standard independent rounding suffices. This is made possible via the notion of multiroute flows originally suggested by Kishimoto et al. One advantage of the simpler rounding is an improved bound on the congestion when the path lengths are short.
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基于多路由流的多路径路由拥塞最小化
拥塞最小化是一个众所周知的路由问题,由于Raghavan和Thompson的随机舍入,它有一个O(log n/log n)-近似。Srinivasan正式引入了低拥塞多路径路由问题,作为(单路径)拥塞最小化问题的推广。目标是为每对路由多条不相交的路径,以实现容错性。Srinivasan针对多路径问题的一种特殊情况开发了一种依赖随机化方案,当输入包含每对不相交路径的给定集合时,目标是选择其中的一个给定子集。随后,Doerr给出了一种不同的依赖包围方案和非随机化。Doerr等人考虑了必须选择路径的问题,应用了依赖舍入技术并进行了实验评估。然而,他们的算法不保持所需的不连接性,否则问题很容易归结为标准的拥塞最小化问题。在本文中,我们将展示一个简单的算法,它可以正确地解决这个问题,而不需要依赖舍入——标准的独立舍入就足够了。这是通过Kishimoto等人最初提出的多路径流概念实现的。简单舍入的一个优点是,当路径长度较短时,可以改进阻塞的边界。
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