| Fundamentals of Queueing Networks: Performance, Asymptotics, and Optimization 2001 Edition Contributor(s): Chen, Hong (Author), Yao, David D. (Author) |
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ISBN: 0387951660 ISBN-13: 9780387951669 Publisher: Springer OUR PRICE: $94.99 Product Type: Hardcover - Other Formats Published: June 2001 Annotation: This timely and synoptic text contains the essentials of queueing networks, from the classical product-form theory to the more recent developments such as diffusion and fluid limits, stochastic comparisons, stability, dynamic scheduling, and optimization. Written by two leading experts in stochastic models and applied probability, the book is based on the authors' lecture notes accumulated over many years of teaching queueing networks. The selection of materials is well-balanced in breadth and depth, making the book an ideal graduate-level text for students in engineering, business, applied mathematics, and probability and statistics. As queueing networks have become widely used as a basic model of many physical systems in a diverse range of fields, from supply chains to communication networks, the book is also a useful reference for researchers and practitioners in industrial engineering, operations research and management, computer systems, telecommunications, and related fields. |
| Additional Information |
| BISAC Categories: - Business & Economics | Operations Research - Medical - Technology & Engineering | Engineering (general) |
| Dewey: 519.82 |
| LCCN: 00052280 |
| Series: Stochastic Modelling and Applied Probability |
| Physical Information: 0.95" H x 6.38" W x 9.54" (1.58 lbs) 406 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: The objective of this book is to collect in a single volume the essentials of stochastic networks, from the classical product-form theory to the more re- cent developments such as diffusion and fluid limits, stochastic comparisons, stability, control (dynamic scheduling) and optimization. The selection of materials inevitably is a reflection upon our bias and preference, but it is also driven to a large extent by our desire to provide a graduate-level text that is well balanced in breadth and depth, suitable for the classroom. Given the wide-ranging applications of stochastic networks in recent years, from supply chains to telecommunications, it is also our hope that the book will serve as a useful reference for researchers and students alike in these diverse fields. The book consists of three parts. The first part, Chapters 1 through 4, covers (continuous-time) Markov-chain models, including the classical Jackson and Kelly networks, the notion of quasi-reversible queues, and stochastic comparisons. The second part, Chapters 5 through 10, focuses on Brownian models, including limit theorems for generalized Jackson net- works and multiclass feedforward networks, an in-depth examination of stability in a Kumar-Seidman network, and Brownian approximations for general multiclass networks with a mixture of priority and first-in-first-out disciplines. The third part, Chapters 11 and 12, discusses scheduling in both queueing (stochastic) and fluid (deterministic) networks, along with topics such as conservation laws, polymatroid optimization, and linear pro- gramming. |