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 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.