Title :
Reliability Analysis of Interdependent Networks Using Percolation Theory
Author :
Qiong Zhang ; Daqing Li ; Rui Kang ; Zio, Enrico ; Peng Zhang
Author_Institution :
Sch. of Reliability & Syst. Eng., Beihang Univ., Beijing, China
Abstract :
Many complex systems have functional interdependency between each other and can be modeled as interdependent networks. The failure of a small fraction of nodes in interdependent networks may lead to catastrophic cascading failures across network borders. Starting from a model of static interdependent networks, by introducing lifetime for each component, we study the reliability properties and lifetimes of the interdependent networks to which these components belong. Depending on the lifetime of the network components, the trigger of cascading failures will shape the interdependent networks reliability. In this framework, we analyze the evolution of the reliability properties of interdependent networks, and compare them with single networks. Interdependent SF networks are found to have lower reliability than interdependent ER networks.
Keywords :
large-scale systems; percolation; reliability theory; catastrophic cascading failures; complex systems; functional interdependency; interdependent ER networks; interdependent networks reliability; network borders; percolation theory; reliability analysis; static interdependent networks; Educational institutions; Erbium; Power system faults; Power system protection; Reliability theory; Telecommunication network reliability; Interdependent networks; criticality; percolation theory; phase transition; reliability;
Conference_Titel :
Signal-Image Technology & Internet-Based Systems (SITIS), 2013 International Conference on
Conference_Location :
Kyoto
DOI :
10.1109/SITIS.2013.102