Authors:
- The first textbook on queueing theory that does not require a course in stochastic processes as a prerequisite
- Suitable for applied science students not needing a specialized course in queueing theory
- Modeling exercises are included as a motivational tool; review exercises cover background material on statistical distributions
- Includes a chapter on modeling using computational tools
- Chapter 10 material on statistical methods does not appear in any other introductory or even more advanced textbooks on queueing theory
- Instructor's guide to solutions of exercises available upon request
- Includes supplementary material: sn.pub/extras
- Request lecturer material: sn.pub/lecturer-material
Part of the book series: Statistics for Industry and Technology (SIT)
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Table of contents (14 chapters)
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Front Matter
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Back Matter
About this book
This introductory textbook is designed for a one-semester course on queueing theory that does not require a course on stochastic processes as a prerequisite. By integrating the necessary background on stochastic processes with the analysis of models, the work provides a sound foundational introduction to the modeling and analysis of queueing systems for a broad interdisciplinary audience of students in mathematics, statistics, and applied disciplines such as computer science, operations research, and engineering. This edition includes additional topics in methodology and applications.
Key features:
• An introductory chapter including a historical account of the growth of queueing theory in more than 100 years.
• A modeling-based approach with emphasis on identification of models
• Rigorous treatment of the foundations of basic models commonly used in applications with appropriate references for advanced topics.
• A chapter on matrix-analytic method asan alternative to the traditional methods of analysis of queueing systems.
• A comprehensive treatment of statistical inference for queueing systems.
• Modeling exercises and review exercises when appropriate.
The second edition of An Introduction of Queueing Theory may be used as a textbook by first-year graduate students in fields such as computer science, operations research, industrial and systems engineering, as well as related fields such as manufacturing and communications engineering. Upper-level undergraduate students in mathematics, statistics, and engineering may also use the book in an introductory course on queueing theory. With its rigorous coverage of basic material and extensive bibliography of the queueing literature, the work may also be useful to applied scientists and practitioners as a self-study reference for applications and further research.
"...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. 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 of the first edition
Reviews
“This is a well-written textbook for upper-level undergraduate or graduate students in computer science or engineering who study network performance, design or other technological disciplines that include queueing theory. … All necessary concepts on the theory of Markov processes as well as techniques for modeling and analysis of queueing systems are given in examples.” (Vyacheslav Abramov, zbMATH 1333.60001, 2016)
Authors and Affiliations
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Department of Statistical Science, Southern Methodist University, Dallas, USA
U. Narayan Bhat
About the author
Bibliographic Information
Book Title: An Introduction to Queueing Theory
Book Subtitle: Modeling and Analysis in Applications
Authors: U. Narayan Bhat
Series Title: Statistics for Industry and Technology
DOI: https://doi.org/10.1007/978-0-8176-8421-1
Publisher: Birkhäuser Boston, MA
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media New York 2015
Hardcover ISBN: 978-0-8176-8420-4Published: 09 July 2015
eBook ISBN: 978-0-8176-8421-1Published: 09 July 2015
Series ISSN: 2364-6241
Series E-ISSN: 2364-625X
Edition Number: 2
Number of Pages: XIV, 339
Number of Illustrations: 12 b/w illustrations, 6 illustrations in colour
Topics: Statistical Theory and Methods, Probability Theory and Stochastic Processes, Mathematical Modeling and Industrial Mathematics, Sequences, Series, Summability, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Industrial and Production Engineering