Introduction to Queueing Theory and Stochastic Teletraffic Models Moshe Zukerman EE Department City University of Hong Kong email:
[email protected] Copyright M. Zukerman c 2000–2020. This book can be used for educational and research purposes under the condition that it (including this first page) is not modified in any way. Preface The aim of this textbook is to provide students with basic knowledge of stochastic models with a special focus on queueing models, that may apply to telecommunications topics, such as traffic modelling, performance evaluation, resource provisioning and traffic management. These topics are included in a field called teletraffic. This book assumes prior knowledge of a programming language and mathematics normally taught in an electrical engineering bachelor program. The book aims to enhance intuitive and physical understanding of the theoretical concepts it introduces. The famous mathematician Pierre-Simon Laplace is quoted to say that “Probability is common sense reduced to calculation” [18]; as the content of this book falls under the field of applied probability, Laplace’s quote very much applies. Accordingly, the book aims to link intuition and common sense to the mathematical models and techniques it uses. It mainly focuses on steady-state analyses and avoids discussions of time-dependent analyses. arXiv:1307.2968v23 [math.PR] 21 Feb 2020 A unique feature of this book is the considerable attention given to guided homework assign- ments involving computer simulations and analyzes. By successfully completing these assign- ments, students learn to simulate and analyze stochastic models, such as queueing systems and networks, and by interpreting the results, they gain insight into the queueing performance effects and principles of telecommunications systems modelling.