DocumentCode
1991515
Title
Modeling and analysis of system dependability using the System Availability Estimator
Author
Blum, A.M. ; Goyal, A. ; Heidelberger, P. ; Lavenberg, S.S. ; Nakayama, M.K. ; Shahbuddin, P.
Author_Institution
IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
fYear
1994
fDate
15-17 June 1994
Firstpage
137
Lastpage
141
Abstract
This paper reviews the System Availability Estimator (SAVE) modeling program package. SAVE is used to construct and analyze models of computer and communication systems dependability. The SAVE modeling language consists of a few constructs for describing the components in a system, their failure and repair characteristics, the interdependencies between components, and the conditions on the individual components for the system to be considered available. SAVE parses an input file and creates a Markov chain model. For small models numerical solution methods can be used, but for larger models (the state space grows exponentially with the number of components in the model), fast simulation techniques using importance sampling have to be used. We provide software demonstrations using both these techniques.<>
Keywords
Markov processes; fault tolerant computing; reliability; software reliability; systems analysis; Markov chain model; SAVE; System Availability Estimator modeling program package; communication systems dependability; fast simulation techniques; importance sampling; modeling language; repair characteristics; system dependability; Availability; Hardware; Monte Carlo methods; Numerical models; Operating systems; Packaging; Pollution measurement; Predictive models; Software packages; State-space methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Fault-Tolerant Computing, 1994. FTCS-24. Digest of Papers., Twenty-Fourth International Symposium on
Conference_Location
Austin, TX, USA
Print_ISBN
0-8186-5520-8
Type
conf
DOI
10.1109/FTCS.1994.315647
Filename
315647
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