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
Link To Document :
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