Analysis of Queueing Networks with Blocking
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Author
Contributions
- Nitto Personé, Vittoria - Contributor
- Onvural, Raif - Contributor
Publication
2001 - Springer US, Boston, MA, United States
Language
English
Word Count
63,750 words, Guess
Page Count
255 pages
Physical Format
Electronic resource
Identifiers
- Open LibraryOL27016707M
- ISBN-139781441950147
- ISBN-101441950141
- OCLC Control Number851731497
Classifications
- DDC658.40301
- LCCHD30.23
- LCCHF4999.2-6182
and 1 more
- LCCT57.6-.97
Description
Queueing network models have been widely applied as a powerful tool for modelling, performance evaluation, and prediction of discrete flow systems, such as computer systems, communication networks, production lines, and manufacturing systems. Queueing network models with finite capacity queues and blocking have been introduced and applied as even more realistic models of systems with finite capacity resources and with population constraints. In recent years, research in this field has grown rapidly. Analysis of Queueing Networks with Blocking introduces queueing network models with finite capacity and various types of blocking mechanisms. It gives a comprehensive definition of the analytical model underlying these blocking queueing networks. It surveys exact and approximate analytical solution methods and algorithms and their relevant properties. It also presents various application examples of queueing networks to model computer systems and communication networks. This book is organized in three parts. Part I introduces queueing networks with blocking and various application examples. Part II deals with exact and approximate analysis of queueing networks with blocking and the condition under which the various techniques can be applied. Part III presents a review of various properties of networks with blocking, describing several equivalence properties both between networks with and without blocking and between different blocking types. Approximate solution methods for the buffer allocation problem are presented.
Subjects
Series Statement
- International Series in Operations Research & Management Science -- 31
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