Interactive Markov Chains
And the Quest for Quantified Quality
Hermanns, Holger.
editor.
SpringerLink (Online service)
text
gw
2002
monographic
eng
access
XII, 217 p. online resource.
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.
Interactive Processes -- Markov Chains -- Interactive Markov Chains -- Algebra of Interactive Markov Chains -- Interactive Markov Chains in Practice -- Conclusion -- Proofs for Chapter 3 and Chapter 4 -- Proofs for Chapter 5.
edited by Holger Hermanns.
Mathematics
Computer system failures
Software engineering
Computers
Computer logic
Mathematical statistics
Probabilities
Mathematics
Probability Theory and Stochastic Processes
Software Engineering
Logics and Meanings of Programs
System Performance and Evaluation
Computation by Abstract Devices
Probability and Statistics in Computer Science
QA273.A1-274.9
QA274-274.9
519.2
Springer eBooks
Lecture Notes in Computer Science, 2428
9783540458043
http://dx.doi.org/10.1007/3-540-45804-2
http://dx.doi.org/10.1007/3-540-45804-2
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