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Measuring the survivability of networks to geographic correlated failures

机译:衡量网络对地理相关故障的生存能力

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摘要

Wide area backbone communication networks are subject to a variety of hazards that can result in network component failures. Hazards such as power failures and storms can lead to geographical correlated failures. Recently there has been increasing interest in determining the ability of networks to survive geographic correlated failures and a number of measures to quantify the effects of failures have appeared in the literature. This paper proposes the use of weighted spectrum to evaluate network survivability regarding geographic correlated failures. Further we conduct a comparative analysis by finding the most vulnerable geographic cuts or nodes in the network though solving an optimization problem to determine the cut with the largest impact for a number of measures in the literature as well as weighted spectrum. Numerical results on several sample network topologies show that the worst-case geographic cuts depend on the measure used in an unweighted or a weighted graph. The proposed weighted spectrum measure is shown to be more versatile than other measures in both unweighted and weighted graphs.
机译:广域骨干网通信网络会遭受各种危害,这些危害可能导致网络组件故障。诸如电源故障和暴风雨之类的危害都可能导致与地理位置相关的故障。最近,人们对确定网络在与地理相关的故障中生存的能力的兴趣日益浓厚,并且在文献中出现了许多量化故障影响的措施。本文提出使用加权频谱来评估有关地理相关故障的网络生存能力。进一步,我们通过找到最易受影响的地理切割或网络节点来进行比较分析,尽管通过解决优化问题来确定对文献中的许多措施以及加权频谱影响最大的切割。在几个示例网络拓扑上的数值结果表明,最坏情况下的地理割据取决于未加权或加权图中使用的度量。无论是在未加权图中还是在加权图中,所建议的加权频谱度量都比其他度量更具通用性。

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