In search of network resilience: Anoptimization-basedview

被引:39
作者
Sharkey, Thomas C. [1 ]
Pinkley, Sarah G. Nurre [2 ]
Eisenberg, Daniel A. [3 ]
Alderson, David L. [3 ]
机构
[1] Clemson Univ, Dept Ind Engn, 263 Freeman Hall, Clemson, SC 29634 USA
[2] Univ Arkansas, Dept Ind Engn, Fayetteville, AR 72701 USA
[3] Naval Postgrad Sch, Operat Res Dept, Monterey, CA USA
基金
美国国家科学基金会;
关键词
adaptability; extensibility; improvisation; rebound; resilience; robustness; 2-STAGE ROBUST OPTIMIZATION; INTERDICTION MEDIAN PROBLEM; N-K PROBLEM; DESIGN PROBLEM; INFRASTRUCTURE SYSTEMS; BENDERS DECOMPOSITION; FAILURE LOCALIZATION; SURVIVABLE NETWORKS; FAULT-TOLERANCE; POWER-SYSTEM;
D O I
10.1002/net.21996
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Fifty years of research inNetworkscoincides with 50 years of advances in resilience theory and applications. The purpose of this review is to identify how these two technical communities influenced each other in the past and can bolster each other in the future. Advances in resilience theory show that there are at least four ways networks demonstrate resilience: robustness, rebound, extensibility, and adaptability. Research published inNetworksand by the broader network optimization community has focused primarily on technical methods for robustness and rebound. We review this literature to organize seminal problems and papers on the ability of networks to manage increasing stressors and return to normal activities after a stressful event. In contrast, theNetworkscommunity has made less progress addressing issues for network extensibility and adaptability. Extensibility refers to the ability to stretch current operations to surprising situations and adaptability refers to the ability to sustain operations into the future. We discuss ways to harness existing network optimization methods to study these forms of resilience and outline their limitations. We conclude by providing a research agenda that ensures theNetworkscommunity remains central to future advances in resilience while being pragmatic about the limitations of network optimization for achieving this task.
引用
收藏
页码:225 / 254
页数:30
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