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Guerrilla Capacity Planning: A Tactical Approach to Planning for Highly Scalable Applications and Services Softcover reprint of hardcover 1st ed. 2007 Edition

4.7 out of 5 stars 7 customer reviews
ISBN-13: 978-3642065576
ISBN-10: 3642065570
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Editorial Reviews

About the Author

Neil J. Gunther, M.Sc., Ph.D., SMIEEE, is an internationally recognized IT researcher and computer performance analyst who founded Performance Dynamics Company (www.perfdynamics.com) in 1994. Originally from Melbourne, Australia, he has resided near Silicon Valley in California since 1980. In that time Dr. Gunther has held teaching positions at California State University-Hayward and San Jose University, as well as research and management positions at Xerox PARC, Pyramid/Siemens Technology, and JPL/NASA where he worked on the Voyager and Galileo missions. His "Guerrilla Capacity Planning" classes have been presented at such organizations as America Online (AOL), Boeing, FedEx, Motorola, Nokia, Stanford University, Sun Microsystems and UCLA. In 1996, Dr.

Gunther was awarded Best Technical Paper at the Computer Measurement Group international conference (CMG'96) and at CMG'08 he received the prestigious A.A. Michelson Award---the industry's highest honor for computer performance analysis and capacity planning. Dr. Gunther is also a member of AMS, APS, ACM and SPIE. More details can be found on his Wiki page.

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Product Details

  • Paperback: 253 pages
  • Publisher: Springer; Softcover reprint of hardcover 1st ed. 2007 edition (November 9, 2010)
  • Language: English
  • ISBN-10: 3642065570
  • ISBN-13: 978-3642065576
  • Product Dimensions: 6.1 x 0.6 x 9.2 inches
  • Shipping Weight: 1.1 pounds (View shipping rates and policies)
  • Average Customer Review: 4.7 out of 5 stars  See all reviews (7 customer reviews)
  • Amazon Best Sellers Rank: #2,599,870 in Books (See Top 100 in Books)

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Top Customer Reviews

Format: Hardcover
Dr. Neil Gunther has undertaken an important work, that of teaching to IT professionals the basics of measuring and modeling the scalability of parallel computer systems. The model that he develops in his book is a useful starting point; however, this model fails to provide a sufficiently general basis for modeling the behavior of the wide variety of current parallel computer systems.

The "universal scalability law" that he describes in section 4.4, and for which he provides figure 4.8 and equation 4.31, extends Amdahl's Law via the addition of a "coherency" term that models effects such as data exchange between parallel processes. And although Dr. Gunther suggests that this coherency term ought to grow linearly with the number of parallel processes, and hence should appear as a quadratic term in equation 4.31, this coherency term depends on the specific communication architecture of the computer system and can grow non-linearly, for example, as log to the base two of the number of processes.

This logarithmic growth law may occur because one processor may not communicate directly with all other processors. Instead, one processor may send information to two other processors, and each of those two processors may send information to two more processors, and so forth. Therefore, in order to model the communication that occurs in such a communication cascade, the quadratic n(n-1) coherency term in equation 4.31 should be replaced by an n*log(n) term.

Moreover, performance data that are obtained from current parallel computer systems do not always conform to Dr. Gunther's "universal" scalability "law" under other conditions.
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Format: Hardcover Verified Purchase
First of all, this book was worth the money I spent on it. I came away from reading this book with a clear understanding of the differences between speed and scale, and with a system for modelling the scalability of systems in general.

However... really all of this value was in the first quarter of the book. I read on and read on looking for further conceptual gems but they weren't to be found.

I guess that books are "meant" to be at least a particular length, but this one could have been much shorter and more concise.
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Format: Kindle Edition Verified Purchase
A great book on pragmatic techniques to do performance analysis modeling and capacity planning. If you are a developer or from the operations domain and you care about application performance and scale the this is a must read. The author is brilliant.
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Format: Hardcover Verified Purchase
Very readable coverage of Capacity Planning and Performance Management. Doesn't presume any previous knowledge, but doesn't talk down either. Several good chapters talking about queueing theory.
A great practical handbook.
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