Sample-Path Analysis of Queueing Systems
Language: English
Published by Kluwer Academic Publishers, 1998
Series: Book 11 of 323 - International Series in Operations Research & Management Science
- Hardcover
- New

Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
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Condition: New
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Add to basketItem description from seller
Uses a deterministic (sample-path) approach to analyze stochastic systems, primarily queuing systems and more general input-output systems. This book deals with establishing fundamental relations between asymptotic frequencies and averages, pathwise stability, and insensitivity. It uses the results to establish useful performance measures. Series: International Series in Operations Research & Management Science. Num Pages: 295 pages, biography. BIC Classification: KJT; PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 243 x 168 x 22. Weight in Grams: 596. . 1998. Hardback. . . . .
Seller Inventory # V9780792382102
- Title
- Sample-Path Analysis of Queueing Systems
- Author
- El-Taha, Muhammad; Stidham, Shaler, Jr.
- Publisher
- Kluwer Academic Publishers
- Publication year
- 1998
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0792382102
- ISBN 13
- 9780792382102
- Series
- Book 11 of 323: International Series in Operations Research & Management Science
The book consistently takes the point of view of focusing on one sample path of a stochastic process. Hence, it is devoted to providing pure sample-path arguments. With this approach it is possible to separate the issue of the validity of a relationship from issues of existence of limits and/or construction of stationary framework. Generally, in many cases of interest in queueing theory, relations hold, assuming limits exist, and the proofs are elementary and intuitive. In other cases, proofs of the existence of limits will require the heavy machinery of stochastic processes. The authors feel that sample-path analysis can be best used to provide general results that are independent of stochastic assumptions, complemented by use of probabilistic arguments to carry out a more detailed analysis. This book focuses on the first part of the picture. It does however, provide numerous examples that invoke stochastic assumptions, which typically are presented at the ends of the chapters.
"Synopsis" may belong to another edition of this title.
Review
Short Book Reviews, 19:2 (1999)
`... this monograph is well written, fairly comprehensive and a welcome addition to the growing number of books on queuing theory. It is of interest to a wide audience of operations researchers, applied probabilists and engineers.'
Mathematical reviews, 2002d
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