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Resilience-based network component importance measures

机译：基于弹性的网络组件重要性衡量

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Disruptive events, whether malevolent attacks, natural disasters, manmade accidents, or common failures, can have significant widespread impacts when they lead to the failure of network components and ultimately the larger network itself. An important consideration in the behavior of a network following disruptive events is its resilience, or the ability of the network to "bounce back" to a desired performance state. Building on the extensive reliability engineering literature on measuring component importance, or the extent to which individual network components contribute to network reliability, this paper provides two resilience-based component importance measures. The two measures quantify the (i) potential adverse impact on system resilience from a disruption affecting link i, and (ii) potential positive impact on system resilience when link i cannot be disrupted, respectively. The resilience-based component importance measures, and an algorithm to perform stochastic ordering of network components due to the uncertain nature of network disruptions, are illustrated with a 20 node, 30 link network example.
机译：破坏性事件，无论是恶意攻击，自然灾害，人为事故，还是常见故障，在导致网络组件以及最终更大的网络本身发生故障时，可能会产生广泛而广泛的影响。网络在破坏性事件之后的行为中的重要考虑因素是其弹性或网络“反弹”到所需性能状态的能力。建立在广泛的可靠性工程文献上，该文献以衡量组件重要性或单个网络组件对网络可靠性的影响程度为基础，提供了两种基于弹性的组件重要性度量。两种措施分别量化了（i）可能影响链路i的中断对系统弹性的潜在负面影响，以及（ii）当链路i无法中断时对系统弹性的潜在正面影响。通过20节点30链接网络示例说明了基于弹性的组件重要性度量以及由于网络中断的不确定性而执行网络组件随机排序的算法。

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