Article
Operational resilience: concepts, design and analysis
Scientific Reports
(2016)
Abstract
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.
Disciplines
Publication Date
January 19, 2016
Citation Information
Alexander A Ganin, Emanuelle Massaro, Alexander Gutfraind, Nicholas Steen, et al.. "Operational resilience: concepts, design and analysis" Scientific Reports Vol. 6 Iss. 19540 (2016) p. 1 - 12 Available at: http://works.bepress.com/jeffrey_keisler/64/
Creative Commons license
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