Narayan Bhat U. An Introduction to Queueing Theory: Modeling and Analysis in Applications

Second Edition. — Basel: Birkhäuser, 2015. — 339 p.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 featuresAn 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 as an 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.System Element Models
Basic Concepts in Stochastic Processes
Simple Markovian Queueing Systems
Imbedded Markov Chain Models
Extended Markov and Renewal Models
Queueing Networks
Matrix-Analytic Queueing Models
The General Queue G/G/1 and Approximations
Statistical Inference for Queueing Models
Decision Problems in Queueing Theory
Queueing Theory Applications in Manufacturing Systems
Queueing Theory Applications in the Analysis of Computer and Communication Systems
Simulating Queueing Systems