A Stochastic hierarchical system steady-state availability model
Abstract
Stochastic models are adept at modeling the dependability attributes of critical systems.
The dependability attributes include availability, reliability, safety, integrity,
maintainability, survivability, performance and confidentiality. This paper presents a novel
method of computing the steady-state availability of a system using the closed form
approach. Continuous Time Markov Chain models are instrumental in deriving the steadystate
availability balance equations of the system modules from which the closed form
solutions are obtained. Imperfect coverage and switch-over are incorporated into the
Continuous Time Markov Chain models where applicable.
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- SIMC 2019 [99]