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Experimental Evaluation of Events Distribution in Markov Based Computer Performance Models

Vais, Václav ; Racek, Stanislav

Acta electrotechnica et informatica, 2012-06, Vol.12 (1), p.66-70 [Periódico revisado por pares]

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Título:
Experimental Evaluation of Events Distribution in Markov Based Computer Performance Models
Autor: Vais, Václav ; Racek, Stanislav
Assuntos: experimental evaluation ; influence of probability distribution ; Markov model ; performance modelling
É parte de: Acta electrotechnica et informatica, 2012-06, Vol.12 (1), p.66-70
Notas: v10198-012-0014-6.pdf
istex:DB14053340C2DA9DF0009B92202C970E8943F8A7
ark:/67375/QT4-JJ9K6P79-Z
ArticleID:v10198-012-0014-6
Descrição: The continuous-time Markov process is a widely used abstract tool for constructing high-level models of complex computer systems in order to evaluate either the performance or reliability parameters of a system. Utilization of the continuous-time Markov process is based on the assumption of exponential distribution of the time between random events influencing the behaviour of the modelled system. A different kind of probability distribution of this time requires adaptation (extension) of the original model. This article uses a representative example to evaluate the precision of the modelled system parameters using a simple Markov model based on the exponential distribution assumption instead of a more complex model which respects another (i.e. more realistic) probability distribution.
Editor: Kosice: Versita
Idioma: Inglês;Tcheco;Eslovaco

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