Description

This is a graduate level textbook that covers the fundamental topics in queuing theory. The book has a broad coverage of methods to calculate important probabilities, and gives attention to proving the general theorems. It includes many recent topics, such as server-vacation models, diffusion approximations and optimal operating policies, and more about bulk-arrival and bull-service models than other general texts.

Key Features

* Current, clear and comprehensive coverage * A wealth of interesting and relevant examples and exercises to reinforce concepts * Reference lists provided after each chapter for further investigation

Readership

Mathematicians, Statisticians, Industry Analysts, Engineers, Actuarial and Computer Scientists

Table of Contents

Stochastic Processes; Queueing Systems: General Concepts; Birth-and-Death Queueing Systems: Exponential Models; Non-Birth-and-Death Queueing Systems: Markovian Models; Network of Queues; Non-Markovian Queueing Systems; Queues with General Arrival Time and Service Time Distributions 333; Miscellaneous Topics

Details

No. of pages:
450
Language:
English
Copyright:
© 2003
Published:
Imprint:
Academic Press
eBook ISBN:
9780080541815
Print ISBN:
9780124874626
Print ISBN:
9780123886903

About the author

Reviews

"The writing is very clear, with good style and full of details which will help the students immensely." — Svetlozar Rachev, University of California, Santa Barbara "The outstanding feature of the text is the mathematical development and its references to associated research. The extended reference list would also be valuable..." -Donald E. Miller, Notre Dame University, Indiana "Stochiastic Models in Queueing Theory contains a well organized and relatively concise presentation of classical queuing results, with a good historical perspective, nicely challenging homework problems, and a general applications orientation. It includes more comprehensive coverage of bulk input and service systems than most other introductory texts, as well as recent work motivated by telecommunications problems." -Sarah M. Ryan, Iowa State University, JOURNAL OF AMERICAN STATISTICAL ASSOCIATION, 2005