Preface. Part I: Modeling theory. 1. Distribution functions. 2. Reliability and availability models. 3. Series-parallel acyclic directed graphs. 4. Markov models. 5. Product-form queueing networks. 6. Performability models. 7. Stochastic Petri Net models. 8. Semi-Markov chains. Part II: Modeling examples. 9. Reliability and availability modeling. 10. Performance modeling. 11. Hierarchical models. 12. Performability models. 13. Handling algorithmic and numerical limitations. Part III: Appendices. A: Sharpe command line syntax. B: Sharpe language description. C: Using Sharpe interactively. D: Algorithm choices for phase-type Markov chains. References. Index.

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