Common-Cause Failure Analysis for Dynamic Hierarchical Systems

We consider the problem of evaluating the reliability of a hierarchical computer system subject to dynamic failure behavior and common-cause failures (CCF). We present a separable solution that has low computational complexity and which is easy to integrate into existing analytical methods. The resu...

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Bibliographic Details
Published in21st International Conference on Advanced Networking and Applications Workshops/Symposia : proceedings : Niagara Falls, Ontario, Canada : 21-23 May, 2007 Vol. 1; pp. 166 - 171
Main Authors Shrestha, A., Liudong Xing
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2007
Subjects
Boolean functions
Cause effect analysis
Computational complexity
Computer architecture
Computer network reliability
Data structures
Electronic design automation and methodology
Failure analysis
Fault trees
Hierarchical systems
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Summary:We consider the problem of evaluating the reliability of a hierarchical computer system subject to dynamic failure behavior and common-cause failures (CCF). We present a separable solution that has low computational complexity and which is easy to integrate into existing analytical methods. The resulting approach is applicable to Markov analyses and combinatorial methods such as binary decision diagrams for the analysis of the system reliability. We present the general approach in terms of a dynamic fault tree model, and provide the analysis of an example hierarchical computer system. In particular, the example is designed to illustrate the effects of CCF on the system analysis when a cold spare or the trigger event of a functional dependency is affected by a common cause.
ISBN:0769528473
9780769528472
DOI:10.1109/AINAW.2007.121