弹性(材料科学)
扰动(地质)
计算机科学
网络层
网络体系结构
分布式计算
事件(粒子物理)
图层(电子)
叠加原理
计算机网络
数学
数学分析
古生物学
有机化学
化学
物理
热力学
生物
量子力学
作者
Jiuxia Guo,Zongxin Yang,Yinhai Wang
标识
DOI:10.1061/9780784484340.013
摘要
With the development of the Internet of Things, individual independent network systems are gradually combined into multi-layer integrated network systems. The disturbance events affect the single system network and correlate the performance of the whole network system. The superposition of different disturbance events can have a severe impact on the performance of the entire network system, so it is important to study the disturbance impact of multi-layer network systems under the superposition of unexpected events. In this paper, we establish a multi-layer network system resilience system under multiple event disturbances based on complex network theory, using multi-layer network characteristic indicators as the measurement indexes and combining various disorders. The multi-layer network resilience system provides the basis for emergency management measures under emergency events.
科研通智能强力驱动
Strongly Powered by AbleSci AI