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Modeling Computer Systems Evolutions: NonStationary Processes and Stochastic Petri Nets - Application to Dependability Growth,” PNPM (1995)

Abstract
Stochastic Petri nets (SPNs) have emerged over the years as a favored approach for performance and dependability modeling and evaluation. Their usual utilization assumes that systems specification and design do not evolve, in opposition to real-life. This paper is aimed at a preliminary exploration of how to take advantage of the existing body of results on SPNs for modeling the evolution of computer systems, i.e. to model non-stationary stochastic processes. It focuses on dependability evolutions which result from successive releases.

Publication details
Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=?doi=10.1.1.106.6302
Source http://www.laas.fr/~kaaniche/documents/Laprie-PNPM-1995/Laprie-PNPM-1995.pdf
Contributors CiteSeerX
Repository CiteSeerX - Scientific Literature Digital Library and Search Engine (United States)
Type text
Language English
Relation 10.1.1.128.3113, 10.1.1.122.6287