Probability, Stochastic Processes, and Queueing Theory: The Mathematics of Computer Performance Modeling | 
 enlarge | Author: Randolph Nelson
Publisher: Springer
Category: Book
List Price: $109.00
Buy New: $39.99
You Save: $69.01 (63%)
New (15) Used (11) from $39.99
Rating:  3 reviews
Sales Rank: 1100989
Media: Hardcover
Pages: 583
Number Of Items: 1
Shipping Weight (lbs): 2.5
Dimensions (in): 9.5 x 6.8 x 1.4
ISBN: 0387944524
Dewey Decimal Number: 519.2
EAN: 9780387944524
Publication Date: February 18, 2000
Availability: Usually ships in 1-2 business days
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Product Description
This textbook provides a comprehensive introduction to probability and stochastic processes, and shows how these subjects may be applied in computer performance modelling. The author's aim is to derive the theory in a way that combines its formal, intuitive, and applied aspects so that students may apply this indispensable tool in a variety of different settings. Readers are assumed to be familiar with elementary linear algebra and calculus, including the concept of limit, but otherwise this book provides a self-contained approach suitable for graduate or advanced undergraduate students. The first half of the book covers the basic concepts of probability including expectation, random variables, and fundamental theorems. In the second half of the book the reader is introduced to stochastic processes. Subjects covered include renewal processes, queueing theory, Markov processes, and reversibility as it applies to networks of queues. Examples and applications are drawn from problems in computer performance modelling.
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| Customer Reviews:
 Comprehensive and systematic. December 18, 2000
8 out of 9 found this review helpful
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.
Excellent Book March 24, 2007
Said Zaghloul (Montreal, Canada)
2 out of 2 found this review helpful
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.
 Great reference for probability and related studies. March 11, 2005
Patrick Lam (Hong Kong)
4 out of 5 found this review helpful
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.
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