相互依存
级联故障
相互依存的网络
可靠性(半导体)
计算机科学
马尔可夫链
关键基础设施
电力系统
分布式计算
弹性(材料科学)
可靠性工程
风险分析(工程)
复杂网络
功率(物理)
工程类
计算机安全
业务
物理
法学
政治学
万维网
机器学习
量子力学
热力学
作者
Mahshid Rahnamay‐Naeini,Majeed M. Hayat
标识
DOI:10.1109/tsg.2016.2539823
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI