Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)

A Resilience Engineering Based Analysis Framework for Network Systems

Authors
Fuchun Ren, Jian Jiao, Zihan Zhang, Tingdi Zhao
Corresponding Author
Fuchun Ren
Available Online November 2017.
DOI
10.2991/amms-17.2017.78How to use a DOI?
Keywords
resilience engineering; resilience analysis; network systems
Abstract

Many real-world systems can be abstracted into network systems. They have made a great contribution to human daily life, however, risk and disadvantages of these network systems are also serious since a tiny fault may lead to a big disaster. So the ability of resilience that a system can response to an adverse disruption and recovery back to the normal condition after disruptions is needed for modern systems. This paper mainly proposed a resilience analysis framework based on the resilience engineering concept and numerical simulations are put forward based on a generated scale-free network. The simulation results reveal that factors of component reliability, failure propagation failure detection, and recovery strategy would indeed contribute to the resilience of network systems.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)
Series
Advances in Intelligent Systems Research
Publication Date
November 2017
ISBN
10.2991/amms-17.2017.78
ISSN
1951-6851
DOI
10.2991/amms-17.2017.78How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Fuchun Ren
AU  - Jian Jiao
AU  - Zihan Zhang
AU  - Tingdi Zhao
PY  - 2017/11
DA  - 2017/11
TI  - A Resilience Engineering Based Analysis Framework for Network Systems
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)
PB  - Atlantis Press
SP  - 349
EP  - 353
SN  - 1951-6851
UR  - https://doi.org/10.2991/amms-17.2017.78
DO  - 10.2991/amms-17.2017.78
ID  - Ren2017/11
ER  -