From Performability to Uncertainty

Raymond A. Marie ()
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Raymond A. Marie: IRISA Campus de Beaulieu, Rennes University

A chapter in Principles of Performance and Reliability Modeling and Evaluation, 2016, pp 143-168 from Springer

Abstract: Abstract Starting from the expertise in reliability and in performance evaluation, we present the notion of performability introduced by John Meyer in his famous paper. We recall that in the past, few industry leaders believed in stochastic models, most of them placing greater confidence in the development of deterministic models and the use of coefficients of security to take into account the different uncertainties. But now, the notion of risk has been emphasized by the development of new technologies, the generalization of insurance policies, and the practice of service level agreements. Therefore, this is the time to consider stochastic models, where former deterministic parameters are replaced by random variables, with the encouragement of industrial leaders. We illustrate these latter models through two variants of a case study.

Keywords: Infinitesimal Generator; Triangular Distribution; Computation Capacity; Reward Rate; Uniformization Technique (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-319-30599-8_6

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DOI: 10.1007/978-3-319-30599-8_6

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