Interactive Markov Chains [electronic resource] : And the Quest for Quantified Quality / edited by Holger Hermanns.
Hermanns, Holger. editor.
SpringerLink (Online service)
Mathematics.
Computer system failures.
Software engineering.
Computers.
Computer logic.
Mathematical statistics.
Probabilities.
QA273.A1-274.9
QA274-274.9
519.2 23
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.
2002
Text
XII, 217 p.
http://dx.doi.org/10.1007/3-540-45804-2
eng
Springer eBooks
Lecture Notes in Computer Science, 0302-9743 ; 2428
Lecture Notes in Computer Science, 0302-9743 ; 2428