Queueing Networks and Markov Chains - Gunter Bolch
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Présentation Queueing Networks And Markov Chains de Gunter Bolch Format Relié
- Livre Anglais
Résumé : Preface to the First Edition. 1. ?Introduction. 1.1 Motivation. 1.2 Methodological Background. 1.3 Basics of Probability and Statistics. 2. ?Markov Chains. 2.1 Markov Processes. 2.2 Performance Measures. 2.3 Generation Methods. 3. ?Steady-State Solutions of Markov Chains. 3.1 Solution for a Birth Death Process. 3.2 Matrix-Geometric Method: Quasi-Birth-Death Process. 3.3 Hessenberg Matrix: Non-Markovian Queues. 3.5 Numerical Solution: Iterative Methods. 4.1 Courtois' Approximate Method. 4.2 Takahashi's Iterative Method. 5.1 Transient Analysis Using Exact Methods. 5.2 Aggregation of Stiff? Markov Chains. 6.1 Notation. 6.2 Markovian Queues. 6.4 Priority Queues. 7. Queueing Networks. 7.1 Definitions and Notation. 8. Algorithms for Product-Form Networks. 8.1 The Convolution Algorithm. 9.1 Approximations Based on the MVA. 9.3 Bottapprox Method. 10.1 Nonexponential Distributions. 10.7 Networks with Asymmetric Nodes. 11.1 Introduction to Simulation. 11.3 Classification of Simulation Models. 12.1 PEPSY. 12.2 SPNP. 12.4 SHARPE. 13.1 Case Studies of Queueing Networks. 13.2 Case Studies of Markov Chains. Bibliography. Index.
Preface to the Second Edition.
3.4 Numerical Solution: Direct Methods.
3.6 Comparison of Numerical Solution Methods.
4.?Steady-State Aggregation/Disaggregation Methods.
5.?Transient Solution of Markov Chains.
6.?Single Station Queueing Systems.
6.3 Non-Markovian Queues.
6.5 Asymmetric Queues.
6.6 Queues with Batch Service and Batch Arrivals.
6.7 Retrial Queues.
6.8 Special Classes of Point Arrival Processes.
7.2 Performance Measures.
7.3 Product-Form Queueing Networks.
8.2 The Mean Value Analysis.
8.3 Flow Equivalent Server Method.
8.4? Summary.
9.?Approximation Algorithms for Product-Form Networks.
9.2 Summation Method.
9.4 Bounds Analysis.
9.5 Summary.
10. ?Algorithms for Non-Product-Form Networks.
10.2 Different Service Times at FCFS Nodes.
10.3 Priority Networks.
10.4 Simultaneous Resource Possession.
10.5 Prograrns with Internal Concurrency.
10.6 Parallel Processing.
10.8 Networks with Blocking.
10.9 Networks with Batch Service.
11. Discrete-Event Simulation.
11.2 Simulative or Analytic Solution?
11.4 Classification of Tools in DES.
11.5 The Role of Probability and Statistics in Simulation.
11.6 Applications.
12. Performance Analysis Tools.
12. 3 MOSEL-2.
12.5 Characteristics of Some Tools.
13. Applications.
13.3 Case Studies of Hierarchical Models.
Glossary.
Biographie:
has published more than eighty peer-reviewed articles on performance modeling, computer networking, self-organization, quality of service, and peer-to-peer systems...
Sommaire: STEFAN GREINER, PhD, is Researcher at the DaimlerChrysler AG. He is coauthor of MOSEL and the recipient of the best paper award at the ESS94conference. HERMANN de MEER, PhD, is Professor in the Faculty of Mathematicsand Computer Science, University of Passau. He holds a chair in the Computer Networking and Communications Department...
GUNTER BOLCH, PhD, is Academic Director in the Department of Computer Science, University of Erlangen. He is a coauthor of MOSEL, a powerful specification language based on Markov chains.He has published five textbooks and more than 130 articles on performance modeling of computer and communication systems and applications.
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