一种有效的启发式算法,用于计算具有指定节点的受保护路径

Lúcia Martins, Teresa Gomes, D. Tipper
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引用次数: 3

摘要

在许多情况下,确定必须访问特定中间节点的网络中两个节点之间的路径的问题都会出现。例如,出于安全原因,可能需要流量访问可以通过深度数据包检测进行监控的节点。本文提出了一种新的递归启发式算法,用于寻找经过网络中指定节点集的从源节点到目标节点的最短无环路径。为了提供路径沿线故障的生存能力,改进了启发式算法,使计算出的路径能够受到节点不相交备份路径的保护。对于每个考虑的问题,通过比较整数线性规划(ILP)公式来评估启发式算法的性能,计算有保护和没有保护的路径。ILP求解器可能无法在合理的时间内获得解决方案,特别是在大型网络中,这证明需要有效的、计算效率高的启发式方法来解决这些问题。我们的数值结果也与文献中先前的启发式方法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An efficient heuristic for calculating a protected path with specified nodes
The problem of determining a path between two nodes in a network that must visit specific intermediate nodes arises in a number of contexts. For example, one might require traffic to visit nodes where it can be monitored by deep packet inspection for security reasons. In this paper a new recursive heuristic is proposed for finding the shortest loopless path, from a source node to a target node, that visits a specified set of nodes in a network. In order to provide survivability to failures along the path, the proposed heuristic is modified to ensure that the calculated path can be protected by a node-disjoint backup path. The performance of the heuristic, calculating a path with and without protection, is evaluated by comparing with an integer linear programming (ILP) formulation for each of the considered problems. The ILP solver may fail to obtain a solution in a reasonable amount of time, especially in large networks, which justifies the need for effective, computationally efficient heuristics for solving these problems. Our numerical results are also compared with previous heuristics in the literature.
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