A Stochastic hierarchical system steady-state availability model

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dc.contributor.authorMusiga, Lydia
dc.date.accessioned2021-05-07T12:10:35Z
dc.date.available2021-05-07T12:10:35Z
dc.date.issued2019
dc.descriptionPaper presented at the 5th Strathmore International Mathematics Conference (SIMC 2019), 12 - 16 August 2019, Strathmore University, Nairobi, Kenyaen_US
dc.description.abstractStochastic 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.en_US
dc.description.sponsorshipUniversity of Nairobi, Kenya.en_US
dc.identifier.urihttp://hdl.handle.net/11071/10468
dc.language.isoen_USen_US
dc.publisherStrathmore Universityen_US
dc.subjectContinuous Time Markov Chainsen_US
dc.subjectAvailabilityen_US
dc.titleA Stochastic hierarchical system steady-state availability modelen_US
dc.typeArticleen_US
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