An introduction to queueing theory: modeling and analysis in applications

This introductory textbook is designed for a one-semester course on queueing theory that does not require a course in stochastic processes as a prerequisite. By integrating the necessary background on stochastic processes with the analysis of models, this book provides a sound foundational introduction to the modeling and analysis of queueing systems for a broad interdisciplinary audience of students coming from diverse disciplines, including applied mathematics,statistics, computer science, operations research, and industrial, systems, manufacturing, and communications engineering. Key features include an introductory chapter, which contains an historical account of the growth of queueing theory in the last 100 years; rigorous treatment of the foundations of basic models commonly used in applications with appropriate references for advanced topics; a chapter on modeling and analysis using computational tools. 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 INDICE: Introduction.- System Element Models.- An Introduction to Stochastic Processes.- Simple Markovian Queueing Systems.- Imbedded Markov Chain Models for M/G/I and G/M/I Queues.- Extended Markov Models.- Queueing Networks.- Renewal Process Models.- The General Queue G/G/I and Approximations.- Statistical Inference for Queueing Models.- Decision Problems in Queueing Theory.- Index.

• ISBN: 978-0-8176-4724-7
• Editorial: Birkhaüser
• Encuadernacion: Cartoné
• Páginas: 375
• Fecha Publicación: 01/02/2008
• Nº Volúmenes: 1
• Idioma: Inglés