DocumentCode
1153569
Title
Provably Conservative Approximations to Complex Reliability Models
Author
Smotherman, Mark ; Geist, Robert M. ; Trivedi, Kishor S.
Author_Institution
Department of Computer Science, Clemson University
Issue
4
fYear
1986
fDate
4/1/1986 12:00:00 AM
Firstpage
333
Lastpage
338
Abstract
Provably conservative (and optimistic) reliability models can be systematically derived from more complex models. These derived models incorporate a reduced state space and fewer transitions, and, therefore, have solutions that are more cost- effective than those of the original complex models. The designer can extensively explore the design space without incurring the expense of solving multiple complex models. A conservative- optimistic pair of derived models produces a band that includes the solution to the complex model. Sensitivity analysis can be performed on this pair of models to determine those parameters of the original model that are most sensitive to change (i.e., uncertainty) and hence warrant further expense in obtaining tighter specifications.
Keywords
Fault coverage; fault-tolerant computers; reliability bounds; reliability modeling; sensitivity analysis; Computer science; Fault tolerance; Helium; Nuclear magnetic resonance; Predictive models; Redundancy; Sensitivity analysis; Space exploration; State-space methods; Uncertainty; Fault coverage; fault-tolerant computers; reliability bounds; reliability modeling; sensitivity analysis;
fLanguage
English
Journal_Title
Computers, IEEE Transactions on
Publisher
ieee
ISSN
0018-9340
Type
jour
DOI
10.1109/TC.1986.1676766
Filename
1676766
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