Queueing Theory: A Linear Algebraic Approach | 
| Author: Lester Lipsky Publisher: Springer Category: Book
List Price: $79.95 Buy New: $58.88 You Save: $21.07 (26%)
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Avg. Customer Rating: 1 reviews Sales Rank: 538181
Media: Hardcover Edition: 2nd Number Of Items: 1 Pages: 554 Shipping Weight (lbs): 2 Dimensions (in): 9.1 x 6.4 x 1.2
ISBN: 0387497048 Dewey Decimal Number: 519.82 EAN: 9780387497044 ASIN: 0387497048
Publication Date: November 6, 2008 Availability: Usually ships in 1-2 business days
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| Editorial Reviews:
Product Description PQueueing Theory deals with systems where there is contention for resources, but the demands are only known probabilistically./P PThis book can be considered to be a monograph or a textbook, and thus is aimed at two audiences: those who already know Queueing Theory but would like to know more of the Linear Algebraic Approach; and as a rst course for students who don't already have a strong background in probability, and feel more comfortable with algebraic arguments. Also, the equations are well suited to easy computation. In fact, there is much discussion on how various properties can be easily computed in any language that has automatic matrix operations (e.g., MATLAB). To help with physical insight, there are over 80 gures, numerous examples and exercises distributed throughout the book. There are, perhaps 50 books on QT that are available today, and most practitioners have several of them on their shelves. This book would be a good addition, as well as a good supplement to another text./P PThis second edition has been updated throughout including a new chapter on Semi Markov Processes and new material on matrix representations of distributions and Power-tailed distribution./P PLester Lipsky is a Professor in the Department of Computer Science and Engineering at the University of Connecticut./P
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| Customer Reviews:
An excellent treatment of some rather complex material. July 31, 1998 5 out of 6 found this review helpful
This book is an excellent introduction to queueing analysis using matrix analytic techiques. The book is very readable and the author provides numerous examples to illustrate crucial points. Analysis of the M/M/1, M/G/1, GI/M/1, M/G/C, and GI/G/1 queues and variants are performed via a consistent framework. Also, the author presents an introduction to busy period analyses which is interesting. The only comparable books are by Marcel Neuts, however, Neut's treatment is geared towards researchers or graduate students in the field.
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