Operational resilience: concepts, design and analysis.
Operational resilience: concepts, design and analysis.
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DOI：
10.1038/srep19540
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发表时间：
2016-01-19
影响因子：
4.6
通讯作者：
Linkov I
中科院分区：
文献类型：
--
作者：
Ganin AA;Massaro E;Gutfraind A;Steen N;Keisler JM;Kott A;Mangoubi R;Linkov I
在当今复杂的基础设施中建立弹性对于社会的日常运作及其抵御自然灾害、流行病和网络威胁并从中恢复的能力至关重要。这项研究提出了量化措施，捕捉并实施了美国国家科学院提出的工程弹性的定义。该方法适用于物理、信息和社会领域。它评估关键功能，定义为利益相关者设定的时间性能函数。关键功能是有价值信息的来源，例如一段时间内的集成系统弹性及其稳健性。本文演示了两类模型的公式：1）多级有向无环图，2）相互依赖的耦合网络。对于这两种模型，都使用综合案例研究来探索趋势。对于第一类，该方法也适用于Linux操作系统。结果表明，通过权衡不同的设计参数（例如冗余、节点恢复时间和可用的备份电源）可以实现所需的弹性和稳健性水平。网络参数和弹性水平之间的非线性关系证实了所提出方法的实用性，这对于复杂系统和网络的分析师和设计者来说是有益的。
Building resilience into today’s complex infrastructures is critical to the daily functioning of society and its ability to withstand and recover from natural disasters, epidemics, and cyber-threats. This study proposes quantitative measures that capture and implement the definition of engineering resilience advanced by the National Academy of Sciences. The approach is applicable across physical, information, and social domains. It evaluates the critical functionality, defined as a performance function of time set by the stakeholders. Critical functionality is a source of valuable information, such as the integrated system resilience over a time interval, and its robustness. The paper demonstrates the formulation on two classes of models: 1) multi-level directed acyclic graphs, and 2) interdependent coupled networks. For both models synthetic case studies are used to explore trends. For the first class, the approach is also applied to the Linux operating system. Results indicate that desired resilience and robustness levels are achievable by trading off different design parameters, such as redundancy, node recovery time, and backup supply available. The nonlinear relationship between network parameters and resilience levels confirms the utility of the proposed approach, which is of benefit to analysts and designers of complex systems and networks.