Holger Hermanns Hermanns Interactive Markov Chains

Interactive Markov Chains

von Holger Hermanns

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Beschreibung

Markov Chains are widely used as stochastic models to study a broad spectrum of system performance and dependability characteristics. This monograph is devoted to compositional specification and analysis of Markov chains.
Based on principles known from process algebra, the author systematically develops an algebra of interactive Markov chains. By presenting a number of distinguishing results, of both theoretical and practical nature, the author substantiates the claim that interactive Markov chains are more than just another formalism: Among other, an algebraic theory of interactive Markov chains is developed, devise algorithms to mechanize compositional aggregation are presented, and state spaces of several million states resulting from the study of an ordinary telefone system are analyzed.

Includes supplementary material: sn.pub/extras

Autor*in

Holger Hermanns

Themen in »Interactive Markov Chains«

Concurrent Systems Formal Methods Interactive Processes Markov chain Markovian Process Algebra Performance Analysis Process Algebras State Space Complexity Stochastic Petri Nets Stochastic Process Algebras Systems Analysis Systems Performance algorithms

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Details

ISBN: 9783540442615
Verlag: Springer Berlin
Erscheinung: 11.09.2002

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