
Queueing Networks and Markov Chains
Modeling and Performance Evaluation with Computer Science Applications
Wiley (Publisher)
1st Edition
Published on 14. September 1998
Book
Hardback
XVIII, 726 pages
978-0-471-19366-1 (ISBN)
Article exhausted; check for reprint
Description
Performance analysis seeks to discover the information bottlenecks in a computer system, and allows the system designer to create an optimal system for a specific need. This book, in the words of the authors, presents a "self-contained and complete presentation of the theory and application of computer performance evaluation based on queueing theory and Markov chains." After beginning with basic probability theory, Queueing Networks and Markov Chains proceeds to the more complicated topics of queueing networks and Markov chains, using applications and examples to illustrate key points.
More details
Edition
1., Aufl.
Language
English
Place of publication
New York
United States
Publishing group
John Wiley and Sons Ltd
Target group
College/higher education
Professional and scholarly
Illustrations
Illustrations
Dimensions
Height: 24.1 cm
Width: 16.4 cm
Weight
1134 gr
ISBN-13
978-0-471-19366-1 (9780471193661)
Schweitzer Classification
Other editions
New editions

Gunter Bolch | Stefan Greiner | Hermann de Meer
Queueing Networks and Markov Chains
Modeling and Performance Evaluation with Computer Science Applications
Book
05/2006
2nd Edition
Wiley
€203.50
Article not available at the moment
Persons
Dr. GUNTER BOLCH is Academic Director of the Department of Computer Science at the University of Erlangen in Germany. He is a coauthor of MOSEL, a new and powerful specification language based on Markov chains. Dr. Bolch has published three books and dozens of articles on performance evaluation, computer systems analysis, and process automation. His books are widely regarded as standard references in the field.
Dipl.-Inf. STEFAN GREINER is a researcher in the Department of Computer Science at the University of Erlangen and Daimler Benz AG in Stuttgart, Germany. A coauthor of MOSEL, he has published a number of articles on performance modeling and is the recipient of a best-paper award at the ESS94 conference.
Dr. HERMANN DE MEER is an assistant professor in the Department of Computer Science at the University of Hamburg in Germany. He has written more than 30 articles on performance modeling, optimization, and high-speed networks with multimedia applications.
Dr. KISHOR S. TRIVEDI is a professor in the Department of Electrical and Computer Engineering and the Department of Computer Science at Duke University. The author of the bestselling textbook, Probability and Statistics with Reliability, Queueing and Computer Science Applications and coauthor of Performance and Reliability Analysis of Computer Systems, Professor Trivedi has also published more than 200 articles.
Dipl.-Inf. STEFAN GREINER is a researcher in the Department of Computer Science at the University of Erlangen and Daimler Benz AG in Stuttgart, Germany. A coauthor of MOSEL, he has published a number of articles on performance modeling and is the recipient of a best-paper award at the ESS94 conference.
Dr. HERMANN DE MEER is an assistant professor in the Department of Computer Science at the University of Hamburg in Germany. He has written more than 30 articles on performance modeling, optimization, and high-speed networks with multimedia applications.
Dr. KISHOR S. TRIVEDI is a professor in the Department of Electrical and Computer Engineering and the Department of Computer Science at Duke University. The author of the bestselling textbook, Probability and Statistics with Reliability, Queueing and Computer Science Applications and coauthor of Performance and Reliability Analysis of Computer Systems, Professor Trivedi has also published more than 200 articles.
Content
Markov Chains.; Steady--State Solutions of Markov Chains.; Steady--State Aggregation/Disaggregation Methods.; Transient Solution of Markov Chains.; Single Station Queueing Systems.; Queueing Networks.; Algorithms for Product--Form Networks.; Approximation Algorithms for Product--Form Networks.; Algorithms for Non--Product--Form Networks.; Optimization.; Performance Analysis Tools.; Applications.; Glossary.; Bibliography.; Index.