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Queueing Networks and Markov Chains Modeling and Performance Evaluation with Computer Science Applications

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ISBN-10: 0471193666

ISBN-13: 9780471193661

Edition: 1999

Authors: Gunter Bolch, Stefan Greiner, Hermann De Meer, Kishor S. Trivedi

List price: $135.00
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Performance analysis seeks to discover the information bottlenecks in a computer system, and allows the designer to create an optimal system for a specific need. This text presents the theory and application of computer performance evaluation.
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Book details

List price: $135.00
Copyright year: 1999
Publisher: John Wiley & Sons, Incorporated
Publication date: 9/14/1998
Binding: Hardcover
Pages: 744
Size: 6.50" wide x 9.75" long x 1.75" tall
Weight: 2.596
Language: English

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.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; has published more than eighty peer-reviewed articles on performance modeling, computer networking, self-organization, quality of service, and peer-to-peer systems; and holds several international patents on related topics.KISHOR S. TRIVEDI, PhD, is Chaired Professor in the Department of Electrical and Computer Engineering and the Department of Computer Science, Duke University. A Fellow of IEEE, he is the author of the bestselling textbook Probability and Statistics with Reliability, Queueing, and Computer Science Applications, Second Edition, published by Wiley.

Preface to the Second Edition
Preface to the First Edition
Methodological Background
Basics of Probability and Statistics
Markov Chains
Markov Processes
Performance Measures
Generation Methods
Steady-State Solutions of Markov Chains
Solution for a Birth Death Process
Matrix-Geometric Method: Quasi-Birth-Death Process
Hessenberg Matrix: Non-Markovian Queues
Numerical Solution: Direct Methods
Numerical Solution: Iterative Methods
Comparison of Numerical Solution Methods
Steady-State Aggregation/Disaggregation Methods
Courtois' Approximate Method
Takahashi's Iterative Method
Transient Solution of Markov Chains
Transient Analysis Using Exact Methods
Aggregation of Stiff Markov Chains
Single Station Queueing Systems
Markovian Queues
Non-Markovian Queues
Priority Queues
Asymmetric Queues
Queues with Batch Service and Batch Arrivals
Retrial Queues
Special Classes of Point Arrival Processes
Queueing Networks
Definitions and Notation
Performance Measures
Product-Form Queueing Networks
Algorithms for Product-Form Networks
The Convolution Algorithm
The Mean Value Analysis
Flow Equivalent Server Method
Approximation Algorithms for Product-Form Networks
Approximations Based on the MVA
Summation Method
Bottapprox Method
Bounds Analysis
Algorithms for Non-Product-Form Networks
Nonexponential Distributions
Different Service Times at FCFS Nodes
Priority Networks
Simultaneous Resource Possession
Prograrns with Internal Concurrency
Parallel Processing
Networks with Asymmetric Nodes
Networks with Blocking
Networks with Batch Service
Discrete-Event Simulation
Introduction to Simulation
Simulative or Analytic Solution?
Classification of Simulation Models
Classification of Tools in DES
The Role of Probability and Statistics in Simulation
Performance Analysis Tools
Characteristics of Some Tools
Case Studies of Queueing Networks
Case Studies of Markov Chains
Case Studies of Hierarchical Models