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Interactive Markov Chains
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Interactive Markov Chains

Interactive Markov Chains

The Quest for Quantified Quality

Holger Hermanns

230 pages, parution le 18/11/2002

Résumé

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 telephone system are analyzed.

Contents

1- Introduction
  • Performance Estimation with Markov Chains
  • The Challenge of Compositional Performance Estimation
  • Roadmap
2. Interactive Processes
  • Transition Systems and Interactive Processes
  • Equivalences on Interactive Processes
  • Algorithmic Computation of Equivalences
  • Application Example: A Distributed Mail System
  • Discussion
3. Markov Chains
  • Stochastic Processes
  • Discrete-Time Markov Chains
  • Continuous-Time Markov Chains
  • Analysing Markov Chains
  • Equivalences on Markov Chains
  • Algorithmic Computation of Equivalences
  • Discussion
4. Interactive Markov Chains
  • Design Decisions
  • Interactive Markov Chains
  • Strong Bisimilarity
  • Weak Bisimilarity
  • Algorithmic Computation
  • Application Example: Leaky Bucket
  • Discussion
5. Algebra of Interactive Markov Chains
  • Basic Language
  • Strong Bisimilarity and Weak C ongruence
  • Algebra of Strong Bisimilarity and Weak Congruence
  • Parallel Composition and Abstraction
  • Time Constraints and Symmetric Composition
  • Discussion
6. Interactive Markov Chains in Practice
  • State Space Aggregation by Example
  • Application Study: An Ordinary Telephony System
  • Nondeterminism and Underspecification
  • Discussion
7. Conclusion
  • Major Achievements
  • Has the Challenge Been Met?
  • The Challenge Continues
A. Proofs for Chapter 3 and Chapter 4
B. Proofs for Chapter 5

Caractéristiques techniques

  PAPIER
Éditeur(s) Springer
Auteur(s) Holger Hermanns
Parution 18/11/2002
Nb. de pages 230
Format 15,5 x 23,5
Couverture Broché
Poids 351g
Intérieur Noir et Blanc
EAN13 9783540442615

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