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

Front Cover
Critically acclaimed text for computer performance analysis--now in its second edition


The Second Edition of this now-classic text provides a current and thorough treatment of queueing systems, queueing networks, continuous and discrete-time Markov chains, and simulation. Thoroughly updated with new content, as well as new problems and worked examples, the text offers readers both the theory and practical guidance needed to conduct performance and reliability evaluations of computer, communication, and manufacturing systems.

Starting with basic probability theory, the text sets the foundation for the more complicated topics of queueing networks and Markov chains, using applications and examples to illustrate key points. Designed to engage the reader and build practical performance analysis skills, the text features a wealth of problems that mirror actual industry challenges.

New features of the Second Edition include:
* Chapter examining simulation methods and applications
* Performance analysis applications for wireless, Internet, J2EE, and Kanban systems
* Latest material on non-Markovian and fluid stochastic Petri nets, as well as solution techniques for Markov regenerative processes
* Updated discussions of new and popular performance analysis tools, including ns-2 and OPNET
* New and current real-world examples, including DiffServ routers in the Internet and cellular mobile networks

With the rapidly growing complexity of computer and communication systems, the need for this text, which expertly mixes theory and practice, is tremendous. Graduate and advanced undergraduate students in computer science will find the extensive use of examples and problems to be vital in mastering both the basics and the fine points of the field, while industry professionals will find the text essential for developing systems that comply with industry standards and regulations.

 

Contents

1 Introduction
1
2 Markov Chains
51
3 SteadyState Solutions of Markov Chains
123
4 SteadyState AggregationDisaggregation Methods
185
5 Transient Solution of Markov Chains
209
6 Single Station Queueing Systems
241
7 Queueing Networks
321
8 Algorithms for ProductForm Networks
369
10 Algorithms for NonProductForm Networks
461
11 DiscreteEvent Simulation
607
12 Performance Analysis Tools
657
13 Applications
703
Glossary
807
Bibliography
821
Index
869
Copyright

9 Approximation Algorithms for ProductForm Networks
421

Other editions - View all

Common terms and phrases

Popular passages

Page 7 - Ability of a component or service to perform its required function at a stated instant or over a stated period of time.
Page 7 - Dependability is that property of a computing system which allows reliance to be justifiably placed on the service it delivers. The service delivered by a system is its behavior as it is perceived by its user(s); a user is another system (human or physical) which interacts with the former.

About the author (2006)

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.

Bibliographic information