Cascading Failures in Interdependent Infrastructures: An Interdependent Markov-Chain Approach

被引:92
作者
Rahnamay-Naeini, Mahshid [1 ]
Hayat, Majeed M. [2 ]
机构
[1] Texas Tech Univ, Lubbock, TX 79409 USA
[2] Univ New Mexico, Albuquerque, NM 87106 USA
基金
美国国家科学基金会;
关键词
Interdependent systems; critical infrastructures; cascading failures; Markov chain; power-law distribution;
D O I
10.1109/TSG.2016.2539823
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Many critical infrastructures are interdependent networks in which the behavior of one network impacts those of the others. Despite the fact that interdependencies are essential for the operation of critical infrastructures, such interdependencies can negatively affect the reliability and fuel the cascade of failures within and across the networks. In this paper, a novel interdependent Markov-chain framework is proposed that enables capturing interdependencies between two critical infrastructures with the ultimate goal of predicting their resilience to cascading failures and characterizing the effects of interdependencies on system reliability. The framework is sufficiently general to model cascading failures in any interdependent networks; however, this paper focuses on the electric-cyber infrastructure as an example. Using this framework it is shown that interdependencies among reliable systems, i.e., systems with exponentially distributed failure sizes, can make the individually reliable systems behave unreliably as a whole with power-law failure-size distributions.
引用
收藏
页码:1997 / 2006
页数:10
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