Queueing theory (the mathematical theory of waiting lines in all its configurations) continues to be a standard major area of operations research on the stochastic side. Therefore, universities with an active program in operations research sometimes will have an entire course devoted mainly or entirely to queueing theory, and the course is also taught in computer science, electrical engineering, mathematics, and industrial engineering programs. The basic course in queueing theory is often taught at first year graduate level, though can be taught at senior level undergraduate as well. This text evolved from the author's preferred syllabus for teaching the course, presenting the material in a more logical order than other texts and so being more effective in teaching the basics of queueing theory. The first three chapters focus on the needed preliminaries, including exposition distributions, Poisson processes and generating functions, renewal theory, and Markov chains, Then, rather than switching to first-come first-served memoryless queues here as most texts do, Haviv discusses the M/G/1 model instead of the M/M/1, and then covers priority queues. Later chapters cover the G/M/1 model, thirteen examples of continuous-time Markov processes, open networks of memoryless queues and closed networks, queueing regimes with insensitive parameters, and then concludes with two-dimensional queueing models which are quasi birth and death processes. Each chapter ends with exercises.
Product Identifiers
Publisher
Springer-Verlag New York Inc.
ISBN-13
9781493901135
eBay Product ID (ePID)
215756390
Product Key Features
Subject Area
Data Analysis
Author
Moshe Haviv
Publication Name
Queues: a Course in Queueing Theory
Format
Paperback
Language
English
Subject
Engineering & Technology, Mathematics, Management
Publication Year
2015
Type
Textbook
Number of Pages
221 Pages
Dimensions
Item Height
235mm
Item Width
155mm
Volume
191
Item Weight
3635g
Additional Product Features
Title_Author
Moshe Haviv
Series Title
International Series in Operations Research & Management Science
Country/Region of Manufacture
United States
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