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A deterministic approach for systems-of-systems resilience quantification

A deterministic approach for systems-of-systems resilience quantification With recent advances in systems-of-systems, reliability analysis becomes a very challenging research topic. One of the most pressing issues is to figure out a plan to handle resilience. On this basis, we propose, in this paper, a structural deterministic approach to quantitatively measure systems resilience. This approach is based on a three-step method. First, evaluate the functional dependencies between groups by considering a system-of-systems as a large-scale interconnected network of systems distributed into interdependent groups. This leads us to better understand the overall connections and process continuity. Next, analyse how much the global architecture of the system-of-systems depends on every group. Last, estimate its structural resilience by measuring the impact of each system's failure on the other systems forming the global system and building the process. Two case studies are provided to experiment our approach. The results are cross-compared and evaluated. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Critical Infrastructures Inderscience Publishers

A deterministic approach for systems-of-systems resilience quantification

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1475-3219
eISSN
1741-8038
DOI
10.1504/IJCIS.2018.090654
Publisher site
See Article on Publisher Site

Abstract

With recent advances in systems-of-systems, reliability analysis becomes a very challenging research topic. One of the most pressing issues is to figure out a plan to handle resilience. On this basis, we propose, in this paper, a structural deterministic approach to quantitatively measure systems resilience. This approach is based on a three-step method. First, evaluate the functional dependencies between groups by considering a system-of-systems as a large-scale interconnected network of systems distributed into interdependent groups. This leads us to better understand the overall connections and process continuity. Next, analyse how much the global architecture of the system-of-systems depends on every group. Last, estimate its structural resilience by measuring the impact of each system's failure on the other systems forming the global system and building the process. Two case studies are provided to experiment our approach. The results are cross-compared and evaluated.

Journal

International Journal of Critical InfrastructuresInderscience Publishers

Published: Jan 1, 2018

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