Stochastic Models in Queueing Theory

2nd Edition

Print ISBN: 9780123886903
eBook ISBN: 9780080541815
Imprint: Academic Press
Published Date: 29th October 2002
Page Count: 450
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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


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


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© Academic Press 2003
Academic Press
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"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