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System availability assessment using stochastic models
Author(s) -
Trivedi Kishor S.,
Kim DongSeong,
Ghosh Rahul
Publication year - 2012
Publication title -
applied stochastic models in business and industry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.413
H-Index - 40
eISSN - 1526-4025
pISSN - 1524-1904
DOI - 10.1002/asmb.951
Subject(s) - variety (cybernetics) , computer science , state space , stochastic modelling , operations research , artificial intelligence , mathematics , statistics
Availability assessment is of paramount importance to guarantee uninterrupted operation of a variety of commercial‐grade information and networked systems. In this paper, we present practical case studies that show how to use stochastic analytic modeling approaches to quantitatively assess the availability of such systems. We present non‐state‐space models, statespace models and hierarchical models. We describe the details of these modeling approaches to assess system availability. Copyright © 2012 John Wiley & Sons, Ltd.