Covers fundamental and applied results of Markov chain analysis for the evaluation of dependability metrics, for graduate students and researchers.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Gerardo Rubino is a Senior Researcher at INRIA, France, where he is the scientific leader of the Dionysos team working on the design and the analysis of communication systems. His main research interests are in the quantitative analysis of computer and communication systems through the use of associated stochastic models.
Inhaltsangabe
1. Introduction 2. Discrete time Markov chains 3. Continuous time Markov chains 4. State aggregation of Markov chains 5. Sojourn times in subsets of states 6. Occupation times 7. Performability 8. Stationary detection 9. Simulation of dependability models 10. Bounding techniques.
1. Introduction 2. Discrete time Markov chains 3. Continuous time Markov chains 4. State aggregation of Markov chains 5. Sojourn times in subsets of states 6. Occupation times 7. Performability 8. Stationary detection 9. Simulation of dependability models 10. Bounding techniques.
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