Journal of Systems Engineering and Electronics ›› 2018, Vol. 29 ›› Issue (3): 650-657.doi: 10.21629/JSEE.2018.03.22

• Reliability • Previous Articles     Next Articles

Recovery of coupled networks after cascading failures

Jiazi GAO1(), Yongfeng YIN1,*(), Lance FIONDELLA2(), Lijun LIU1()   

  1. 1 School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China
    2 Department of Electrical & Computer Engineering, University of Massachusetts, North Dartmouth MA 02747-2300, USA
  • Received:2016-12-21 Online:2018-06-28 Published:2018-07-02
  • Contact: Yongfeng YIN E-mail:357209076@qq.com;yyf@buaa.edu.cn;lfiondella@umassd.edu;164497197@qq.com
  • About author:GAO Jiazi was born in 1984. He received his B.S. degree in communication engineering from North China Electric Power University in 2008. Now he is a postgraduate student in the School of Reliability and Systems Engineering, Beihang University. His current research interests include network reliability and software reliability engineering. E-mail: 357209076@qq.com|YIN Yongfeng was born in 1978. He received his M.S. and Ph.D. degrees in School of Reliability and Systems Enginneering, from Beihang University in 2003 and 2010 respectively. He went to Colorado State University as a visiting scholar from 2015 to 2016. Now he is an associate professor of Beihang University. His research interests include systems engineering, software testing and verification techniques, and software reliability engineering. E-mail: yyf@buaa.edu.cn|FIONDELLA Lance was born in 1975. He received his M.S. and Ph.D. degrees in computer science and engineering, from the University of Connecticut, Storrs, CT, USA, in 2003 and 2012, respectively. Presently, he is an assistant professor at the University of Massachusetts Dartmouth. His research interests include reliability and transportation engineering. He has published over 50 peerreviewed journal and conference papers. Four of his conference papers have been recognized with awards. He is a member of the IEEE Reliability Society and serves as the vice-chair of Standard 1633, Recommended Practice on Software Reliability. E-mail: lfiondella@umassd.edu|LIU Lijun was born in 1991. He received his B.S. degree in reliability engineering from Harbin Engineering University in 2014. Now he is a postgraduate student in the School of Reliability and Systems Engineering, Beihang University. His current research interests include network reliability and software reliability engineering. E-mail: 164497197@qq.com
  • Supported by:
    the National Natural Science Foundation of China(60972145);the National Aerospace Science Foundation of China(20140751008);This work was supported by the National Natural Science Foundation of China (60972145), and the National Aerospace Science Foundation of China (20140751008)

Abstract:

With society’s increasing dependence on critical infrastructure such as power grids and communications systems, the robustness of these systems has attracted significant attention. Failure of some nodes can trigger a cascading failure, which completely fragments the network, necessitating recovery efforts to improve robustness of complex systems. Inspired by real-world scenarios, this paper proposes repair models after two kinds of network failures, namely complete and incomplete collapse. In both models, three kinds of repair strategies are possible, including random selection (RS), node selection based on single network node degree (SD), and node selection based on double network node degree (DD). We find that the node correlation in each of the two coupled networks affects repair efficiency. Numerical simulation and analysis results suggest that the repair node ratio and repair strategies may have a significant impact on the economics of the repair process. The results of this study thus provide insight into ways to improve the robustness of coupled networks after cascading failures.

Key words: networks reliability, interdependent networks, recovery strategy, cascading failure