DocumentCode
3135905
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
fYear
2013
fDate
2-5 Dec. 2013
Firstpage
626
Lastpage
629
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal-Image Technology & Internet-Based Systems (SITIS), 2013 International Conference on
Conference_Location
Kyoto
Type
conf
DOI
10.1109/SITIS.2013.102
Filename
6727252
Link To Document