DocumentCode
883177
Title
An analysis of a reliability model for repairable fault-tolerant systems
Author
Balakrishnan, Meera ; Raghavendra, C.S.
Author_Institution
Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
Volume
42
Issue
3
fYear
1993
fDate
3/1/1993 12:00:00 AM
Firstpage
327
Lastpage
339
Abstract
The ARIES reliability model, which models a class of repairable and nonrepairable fault-tolerant systems by a continuous-time Markov chain and uses the Lagrange-Sylvester interpolation formula to directly compute the exponential of the state transition rate matrix (STRM) that appears in the solution of the Markov chain, is discussed. The properties of the STRM for ARIES repairable systems are analyzed. Well-established results in matrix theory are used to find an efficient solution for reliability computation when the eigenvalues of the STRM are distinct. A class of systems that ARIES models for which the solution technique is inapplicable is identified. Several transformations which are known to be numerically stable are used in the solution method. The solution method also offers a facility for incrementally computing reliability when the number of spares in the fault-tolerant system is increased by one
Keywords
Markov processes; fault tolerant computing; matrix algebra; reliability; ARIES; Lagrange-Sylvester interpolation formula; continuous-time Markov chain; eigenvalues; matrix theory; reliability model; repairable fault-tolerant systems; spares; state transition rate matrix; Application software; Computational complexity; Computer errors; Eigenvalues and eigenfunctions; Fault detection; Fault tolerant systems; Interpolation; Lagrangian functions; Numerical stability; Reliability theory;
fLanguage
English
Journal_Title
Computers, IEEE Transactions on
Publisher
ieee
ISSN
0018-9340
Type
jour
DOI
10.1109/12.210175
Filename
210175
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