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Titlebook: Quantitative Methods in Parallel Systems; François Baccelli,Alain Jean-Marie,Isi Mitrani Book 1995 ECSC-EC-EAEC, Brussels-Luxembourg 1995

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Book 1995n order to achieve the quantitative goals for which they are intended. This volume collects recent research results obtained within the Basic Research Action Qmips, which bears on the quantitative analysis of parallel and distributed architectures. Part 1 is devoted to research on the usage of gener
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Stochastic Process Algebra for Discrete Event Simulationilistic choice, either discrete, between a countable number of processes, or continuous, to choose a random amount of time to wait. We define an operational semantics and derive equivalences over it that imply equations which can be used to compare and transform processes representing simulations. W
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Functional and Performance Analysis of Cooperating Sequential Processesoth functional — boundedness, deadlock-freeness, liveness, existence of home states — and performance — marking ergodicity, computation of visit ratios and insensitive throughput bounds — properties are considered.
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Tipp and the Spectral Expansion Methodhion. Until now their applicability has been restricted by the requirement that the process state space should be finite. This was due to the solution algorithms that were employed. In this paper we present a variant of SPA which enables the Spectral Expansion solution method (SE) to be used, thus a
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