Book Review
Table of contents

Title: Queueing
Networks and Markov Chains: Modeling and Performance
Evaluation with Computer Science Applications (The White Book)
Author: Gunter Bolch, Stefan Greiner, Hermann de Meer and Kishor S.
Trivedi John Wiley, second edition, New York, NY, 2006.
ISBN number: 0471565253
Description:
Critically acclaimed text for computer performance analysisnow in its second edition
The Second Edition of this nowclassic text provides a current and thorough treatment of
queueing systems, queueing networks, continuous and discretetime 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 nonMarkovian and fluid stochastic Petri nets, as well as solution
techniques for Markov regenerative processes
* Updated discussions of new and popular performance analysis tools, including ns2 and
OPNET
* New and current realworld 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.
 A basic introduction to probability theory
 An explanation of the characteristics of different types of Markov chains
 Simple examples of all algorithms
 Tranient and steadystate solution algorithms
 Wellknown solution techniques for queueing systems and networks
 A broad range of applications studiesfrom clientserver systems to ATM networks
 Hundreds of illustrations, exercises, and more

If you are interested in purchasing this book, then please see any of the following vendors:
