An Introduction to Queueing Theory

- Preface

- Introduction

- System Element Models

- Basic Concepts in Stochastic Processes

- Simple Markovian Queueing Systems

- Imbedded Markov Chain Models

- Extended Markov Models

- Queueing Networks

- Renewal Process Models

- The General Queue G/G/1 and Approximations

- Statistical Inference for Queueing Models

- Decision Problems in Queueing Theory

- Modeling and Analysis Using Computational Tools

- Appendix A. Poisson Process: Properties and Related Distributions

- Appendix B. Markov Process

- Appendix C. Results from Mathematics

- References

- Index

From the reviews:"This is a new addition to the literature in Queueing Theory, which has been a subject area of intense interest because of its theoretical [richness] and wide applicability. This book has brought a freshness and novelty as it deals mainly with modeling and analysis in applications as well as with statistical inference for queueing problems. The book includes basics of stochastic processes and some mathematical topics, in addition to a chapter written by two computer scientists on modeling and analysis using computational tools, with useful simulation programs...With his 40 years of valuable experience in teaching and high level research in this subject area, Professor Bhat has been able to achieve what he aimed: to make [the work] somewhat different in content and approach from other books."-Assam Statistical Review"The huge range of applications makes queueing theory an interesting object of study for students of mathematics, computer science, operations research and engineering. This book is an introduction to queueing theory. ... The book also contains 3 appendices about Poisson and Markov processes and other background material ... . the extensive bibliography of the queueing literature (202 references) which is given at the end of the book ... help readers to further their research." (Slobodanka S. Mitrovic, Mathematical Reviews, Issue 2010 a)