DocumentCode
2720964
Title
Common-Cause Failure Analysis for Dynamic Hierarchical Systems
Author
Shrestha, Akhilesh ; Xing, Liudong
Author_Institution
Univ. of Massachusetts Dartmouth, Dartmouth, MA
Volume
1
fYear
2007
fDate
21-23 May 2007
Firstpage
166
Lastpage
171
Abstract
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.
Keywords
Markov processes; computational complexity; fault trees; hierarchical systems; software reliability; system recovery; Markov analyses; combinatorial methods; common-cause failure analysis; computational complexity; dynamic failure behavior; dynamic fault tree model; dynamic hierarchical computer systems; functional dependency; system reliability; 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;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Information Networking and Applications Workshops, 2007, AINAW '07. 21st International Conference on
Conference_Location
Niagara Falls, Ont.
Print_ISBN
978-0-7695-2847-2
Type
conf
DOI
10.1109/AINAW.2007.121
Filename
4221054
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