Probability, Stochastic Processes, and Queueing Theory: The Mathematics of Computer Performance Modeling

I have not really read this book chapter by chapter, but I always found in this book the information I needed. I initially borrowed this book from library, only to find that I simply need this book to be on my shelf for convenient reference whenever I need to understand a concept or analysis I come across somewhere else!I only use this book as a reference, but it is a good one. I do not give it 5 stars simply because I am not sure whether all the chapters in the book are equally well written. But for the chapters (or pages) I have read, it is a great one.

I find this as the most helpful book for getting a clear understanding of Stochastic processes. The way he has connected different Stochastic processes, over and over again, helps in deeper understanding of the subject.

This book provides an excellent introduction to Discrete Distributions and their relationships in a sense that goes beyond the classical presenation in other text books. It has excellent introductory chapters on Markov Processes and Matrix Geormetric Systems. I think this book is a great book that can help in courses in Queuing and probability theory.

This book is suitable for my graduate studies on computer performance. The author directs us from combinatorics, distribution theory, queue theory to queueing networks in a systematic way. I have read the book at ease for its stepwise elaboration of concepts. However, I have also read with hardship as it requires the readers to possess a good command of mathematics, both pure and applied, in order to go through the book.For a mathematics graduate studying computer networks, I recommend this book. A novice or a mediocrity should pay more patience to read if not yet at a loss.This book has aroused my interest and eagerness to know more about computer performance from the viewpoint of queueing and networking. In a word, I enjoy reading this book.

It is very good