Fundamentals of Queueing Networks: Performance, Asymptotics, and Optimization: 46 (Stochastic Modelling and Applied Probability, 46) - Hardcover

Chen, Hong; Yao, David D.

Hardcover

ISBN 10: 0387951660 ISBN 13: 9780387951669

Publisher: Springer, 2001

Synopsis

This accessible book aims to collect in a single volume the essentials of stochastic networks. Stochastic networks have become widely used as a basic model of many physical systems in a diverse range of fields. Written by leading authors in the field, this book is meant to be used as a reference or supplementary reading by practitioners in operations research, computer systems, communications networks, production planning, and logistics.

About this title

Review:

From the reviews:

SIAM REVIEW

"To summarize, this text gives well-organized and clearly written introduction to stochastic networks, as well as a complete description of some aspects of current work on these problems. It will probably appeal more to mathematicians than to engineers, especially ones interested in the theoretical aspects of diffusion and fluid approximations to complicated queuing networks. Where possible, the authors illustrate the basic concepts on a simpler form of the model, and the exercises are well chosen. The text is quite free of errors."

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

"The book attains the authors’ goal of producing a systematic exposition of the essentials of the theory of queuing networks...It is an excellent reference, well organized and clearly exposited."

"The Focus of Fundamentals of Queuing Networks (FQN) is on queuing networks. Both authors ... are leading researchers in this field. ... they manage to explain all the essential results in a sufficient amount of detail. ... FQN is designed to be a textbook, and I think, the authors have been successful on that. ... this book seems to be the most accessible one for students." (Bert Zwart, Operations Research Letters, Vol. 33, 2005)

"The book stems essentially from the lecture notes which where accumulated over many years of teaching graduate-level courses on stochastic networks by the authors ... . Its main objective is to collect, in one single-volume, the essentials of stochastic networks. ... this book is intended also to serve as a useful reference for teachers, researchers, and students alike in many of these diverse fields." (H. M. Srivastava, MathSciNet, April, 2004)

"The book attains the author’s goal of producing a systematic exposition of the essentials of the theory of queuing networks. Starting from Jackson networks, it weaves in essential threads of the theory ... . It is an excellent reference, well organized and clearly exposited." (Alan F. Karr, Journal of the American Statistical Association, December, 2002)

"This book treats stochastic networks and includes both classical results on product form networks as well as more recent work on diffusion and fluid limits, control, and optimization. The book is intended for graduate students in engineering, business, applied mathematics, and probability and statistics. ... this text gives a well-organized and clearly written introduction to stochastic networks ... . Where possible, the authors illustrate the basic concepts on a simpler form of the model, and the exercises are well chosen." (Charles Knessl, SIAM-Review, Vol. 44 (3), 2002)

"Written by two leading researchers in the field of applied probability, this text covers a breadth of material on queuing networks. ... I like the book. It is well written in a clear lucid style with key references provided at the end of each chapter. ... For researchers in the field it provides a useful compendium of results and techniques – a superb resource book that should be in the library of such applied probabilists." (Jeffrey J. Hunter, New Zealand Mathematical Society Newsletter, Issue 82, 2002)

Synopsis:

This accessible and timely book collects in a single volume the essentials of stochastic networks, from the classical product-form theory to the more recent developments such as diffusion and fluid limits, stochastic comparisons, stability, control (dynamic scheduling) and optimization.The book was developed from the authors' teaching stochastic networks over many years. It will be useful to students from engineering, business, mathematics, and probability and statistics. As stochastic networks have become widely used as a basic model of many physical systems in a diverse range of fields, the book can also be used as a reference or supplementary readings for courses in operations research, computer systems, communication networks, production planning and logistics, and by practitioners in the field.

About this edition

• Publisher: Springer
• Publication date: 2001
• ISBN 10: 0387951660
• ISBN 13: 9780387951669
• Binding: Hardcover
• Number of pages: 424