From the reviews:
“The organization of the book is such that queueing models are viewed as special cases of more general stochastic processes, such as birth-death or semi-Markov processes. ... this book is a valuable addition to the queuing literature and provides instructors with a viable alternative for a textbook to be used in a one- or two-semester course on queueing models, at the upper undergraduate or beginning graduate levels.” (Charles Knessl, SIAM Review, Vol. 56 (1), March, 2014)
“The authors of this new book ... present the material in an elegant and concise way, resulting in a good basic text that forms a foundation for readers who want to learn more advanced topics. ... Each chapter concludes with a few exercises. ... The writing style is quite formal and will be easily absorbed by a person well acquainted with mathematical modeling ... . the book will serve as a useful reference to quickly look up a theorem or proof.” (Piotr Cholda, Computing Reviews, August, 2013)
“The book is composed of two main parts, namely Part I – Introduction to probability theory and stochastic processes, and Part II – Queueing systems. It consists of eleven chapters and an appendix. ... The book is highly recommended for students and researchers studying and working in the field of queueing theory and its applications.” (János Sztrik, zbMATH, Vol. 1269, 2013)