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Congestion-Free Rerouting of Flows on DAGs

机译:在DAG上的流动的无充血重新排出

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Changing a given configuration in a graph into another one is known as a reconfiguration problem. Such problems have recently received much interest in the context of algorithmic graph theory. We initiate the theoretical study of the following reconfiguration problem: How to reroute k unsplittable flows of a certain demand in a capacitated network from their current paths to their respective new paths, in a congestion-free manner? This problem finds immediate applications, e.g., in traffic engineering in computer networks. We show that the problem is generally NP-hard already for k=2 flows, which motivates us to study rerouting on a most basic class of flow graphs, namely DAGs. Interestingly, we find that for general k, deciding whether an unsplittable multi-commodity flow rerouting schedule exists, is NP-hard even on DAGs. Our main contribution is a polynomial-time (fixed parameter tractable) algorithm to solve the route update problem for a bounded number of flows on DAGs. At the heart of our algorithm lies a novel decomposition of the flow network that allows us to express and resolve reconfiguration dependencies among flows.
机译:将图形中的给定配置更改为另一个,称为重新配置问题。最近在算法图理论的背景下获得了许多兴趣的问题。我们启动了以下重新配置问题的理论研究:如何以拥挤方式将电容网络中的一定需求的一定需求的k Inscreation of of insplated新路径重新路由到其各自的新路径?此问题发现即时应用程序,例如,在计算机网络中的流量工程中。我们表明,问题通常是NP - k = 2流量,这激励我们在最基本的流程图上进行重新路由,即DAG。有趣的是,我们发现一般k,决定是否存在不可预留的多商品流程计划,即使在DAG上也是难以的。我们的主要贡献是多项式 - 时间(固定参数贸易)算法,用于解决DAG上有界数流量的路由更新问题。在我们的算法的核心上,允许我们在流中表达和解决重新配置依赖性的流网络的新颖分解。

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