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Analyzing computer system performance is often regarded by most system administrators, IT professionals and software engineers as a black art that is too time consuming to learn and apply. Finally, this book by acclaimed performance analyst Dr. Neil Gunther makes this subject understandable and applicable through programmatic examples. The means to this end is the open-source performance analyzer Pretty Damn Quick (PDQ) written in Perl and available for download from the author’s Website: www.perfdynamics.com. As the epigraph in this book points out, Common sense is the pitfall of performance analysis. The performance analysis framework that replaces common sense is revealed in the first few chapters of Part I. The important queueing concepts embedded in PDQ are explained in a very simple style that does not require any knowledge of formal probability theory. Part II begins with a full specification of how to set up and use PDQ replete with examples written in Perl. Subsequent chapters present applications of PDQ to the performance analysis of multicomputer architectures, benchmark results, client/server scalability, and Web-based applications. The examples are not mere academic toys but are based on the author's experience analyzing the performance of large-scale systems over the past 20 years. By following his lead, you will quickly be able to set up your own Perl scripts for collecting data and exploring performance-by-design alternatives without inflating your manager’s schedule.
- Sales Rank: #2607833 in eBooks
- Published on: 2009-03-22
- Released on: 2009-03-22
- Format: Kindle eBook
Review
From the reviews:
"The literature of computer performance analysis is generally composed of two groups: heavy theoretical treatises and performance cookbooks. … Surprisingly, this book is exceptionally well balanced between theory and practice … . I strongly recommend this book, both for the novice practitioner and for the experienced performance analyst. Both can extract a vast array of benefits, ranging from understanding the theoretical concepts of performance modeling, to building for themselves a powerful modeling tool … ." (Jair Merlo, Computing Reviews, May, 2005)
About the Author
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Neil Gunther, M.Sc., Ph.D. is a leading industry computer performance consultant who founded Performance Dynamics Company (www.perfdynamics.com) in 1994. Prior to that, Dr. Gunther held research and management positions at San Jose State University, JPL/NASA (Voyager and Galileo spacecraft), Xerox PARC research center and Pyramid/Siemens Technology. His performance and capacity planning classes have been presented at such organizations as Boeing, Fedex, Motorola, Stanford University, and Sun Microsystems.
Dr. Gunther is the author of over a hundred papers on computer performance topics, including "HIT-AND-RUN TACTICS ENABLE GUERRILLA CAPACITY PLANNING," published recently in IEEE IT Professional magazine. He has also written the book THE PRACTICAL PERFORMANCE ANALYST (iUniverse.com 2000). In 1996 he was awarded Best Technical Paper at CMG, and in 1997 was nominated for the A.A. Michelson Award. Dr. Gunther is a member of the AMS, ACM, CMG, IEEE, SAGE-AU, SIGMETRICS and USENIX.
Most helpful customer reviews
8 of 8 people found the following review helpful.
concise and lucid exposition on performance analysis
By metasoft
dr. gunther has written a gem of a performance analysis book. for starter, the unix load average is a wonderful detective story. i especially liked chapter 5 with real performance analysis experiences applying queueing theory discussed in both chapter 2 and 3. the best part is dr. gunther's exposition of queueing theory into the essence for the working performance analysts. in addition, appendix B on buffers and appendix C on memoryless property are the most lucid explanation i have read. i would also heartily recommend dr. gunther's other book, the practical performance analyst.
7 of 7 people found the following review helpful.
A great tool for the capacity planner or performance analyst
By Amazon Customer
This book lays out basics of queuing theory in a way that is both understandable and easy to apply. I have fumbled for years using complex performance analysis tools without ever really knowing whether or not I'm getting the right answer. Now I know what looks right and what doesn't. Gunther has an easy to follow style as he introduces the concepts of queuing theory. Then he shows you how to apply what you have learned using real life examples. It's a definite "must have" for the capacity planner or system performance analyst.
6 of 6 people found the following review helpful.
Both theory and practice plus free modeling software
By Fishman
The coverage of the theory in the first part of the book is very well done. However, its the practical examples in the second half where the book really shines. There are a number of examples modeling client server and web applications.
A copy of his modeling tool, PDQ, is available by download from his website. This version is in Perl. Even though I am not a very experienced Perl programmer I think this is an interesting way to get more practice by building PDQ models. The PDQ package is explained very well and a number of example models are covered.
Some of the examples are from various scattered publications. It's great to get these example models collected in one volume. Dr. Gunthers characteristic sense of humor comes through in the examples.
There is some very practical information about model validation and what to do to account for hidden latencies. There are clear examples of how to practice the art of applying queuing models to real problems.
I would have liked to see some more examples of load dependent servers. Overall I rate the book five stars and I really appreciate getting the modeling software for free!
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