Queueing networks and Markov chains: modeling and performance evaluation with computer science applications
Queueing Networks and Markov Chains is an up-to-date, application-driven guide to computer performance analysis. It is the only book currently available that combines theory and applications of computer performance evaluation with queueing networks and Markov chains, and offers an abundance of performance-evaluation algorithms, applications, and case studies. Timely and comprehensive, Queueing Networks and Markov Chains is essential for practitioners and researchers working in this rapidly evol…
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- Full title :Queueing networks and Markov chains : modeling and performance evaluation with computer science applications / Gunter Bolch [and others].
Summary
Queueing Networks and Markov Chains is an up-to-date, application-driven guide to computer performance analysis. It is the only book currently available that combines theory and applications of computer performance evaluation with queueing networks and Markov chains, and offers an abundance of performance-evaluation algorithms, applications, and case studies. Timely and comprehensive, Queueing Networks and Markov Chains is essential for practitioners and researchers working in this rapidly evolving field, as well as for graduate students in computer science departments.
Read More ↓Edition Statements
- Publication Date:©1998.
Publication Statements
- Publisher(s):Wiley
- Place of Publication:New York
- Language:eng
- Publication Date:©1998.
The Physical Object
- Description:1 online resource (xvi, 726 pages) : : illustrations
Edition Identifiers
- ISBN:0471200581, 9780471200581, 1280556161, 9781280556166, 9786610556168, 6610556164
- oclc:ocn301226623
- LC Classification:QA76.9.E94
- Dewey Decimal:004.2/4/01519233
Table of Contents
Cover -- Contents -- Preface -- 1 Introduction -- 1.1 Motivation -- 1.2 Basics of Probability and Statistics -- 2 Markov Chains -- 2.1 Markov Processes -- 2.2 The Modeling Process -- 3 Steady-State Solutions of Markov Chains -- 3.1 Symbolic Solution: Birth-Death Process -- 3.2 Hessenberg Matrix: Non-Markovian Queues -- 3.3 Numerical Solution: Direct Methods -- 3.4 Numerical Solution: Iterative Methods -- 3.5 Comparison of Numerical Solution Methods -- 4 Steady-State Aggregation/ Disaggregation Methods -- 4.1 Courtois's Approximate Method -- 4.2 Takahashi's Iterative Method -- 5 Transient Solution of Markov Chains -- 5. I Transient Analysis Using Exact Methods -- 5.2 Aggregation of Stiff Markov Chains -- 6 Single Station Queueing Systems -- 6.1 Kendall's Notation -- 6.2 Performance Measures -- 6.3 The M/M/l System -- 6.4 The M/M/8 System -- 6.5 The M/M/m System -- 6.6 The M/M/l/K Finite Capacity System -- 6.7 Machine Repairman Model -- 6.8 Closed Tandem Network -- 6.9 The M/G/l System -- 6.10 The GI/M/l System -- 6.11 The GI/M/m System -- 6.12 The GI/G/l System -- 6.13 The M/G/m System -- 6.14 The GI/G/m System -- 6.15 Priority Queueing -- 6.16 The Asymmetric System -- 6.17 Systems…
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