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Measuring Computer Performance: A Practitioner's Guide
 
 

Measuring Computer Performance: A Practitioner's Guide (Hardcover)

by David J. Lilja (Author) "Before we can begin to understand any aspect of a computer system's performance, we must determine what things are interesting and useful to measure ..." (more)
4.0 out of 5 stars See all reviews (1 customer review)

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Product details

  • Hardcover: 278 pages
  • Publisher: Cambridge University Press (20 Jul 2000)
  • Language English
  • ISBN-10: 0521641055
  • ISBN-13: 978-0521641050
  • Product Dimensions: 25.5 x 17.8 x 2.1 cm
  • Average Customer Review: 4.0 out of 5 stars See all reviews (1 customer review)
  • Amazon.co.uk Sales Rank: 1,765,674 in Books (See Bestsellers in Books)
  • See Complete Table of Contents

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Product Description

Review
‘… practically oriented book will be of interest to anyone who wants a detailed, yet intuitive, understanding of computer systems performance analysis.’ Engineering Designer

‘Measuring computer system performance is no mean task … Lilja’s book is conceptually well formulated, mathematically well grounded, and even intuitively appealing. The author focuses on the key issues in quantifying and characterizing the capacity and usage of a typical computer (or server, switch or any other device based on computing or networking architectures) … an excellent reference for information technology managers who need a conceptual understanding of this topic in order to handle performance issues in computers and networks.’ Charles K. Davis, Computing Reviews

Product Description
Measuring Computer Performance sets out the fundamental techniques used in analyzing and understanding the performance of computer systems. Throughout the book, the emphasis is on practical methods of measurement, simulation, and analytical modeling. The author discusses performance metrics and provides detailed coverage of the strategies used in benchmark programmes. He gives intuitive explanations of the key statistical tools needed to interpret measured performance data. He also describes the general ‘design of experiments’ technique, and shows how the maximum amount of information can be obtained for the minimum effort. The book closes with a chapter on the technique of queueing analysis. Appendices listing common probability distributions and statistical tables are included, along with a glossary of important technical terms. This practically-oriented book will be of great interest to anyone who wants a detailed, yet intuitive, understanding of computer systems performance analysis.

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Inside This Book (Learn More)
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Before we can begin to understand any aspect of a computer system's performance, we must determine what things are interesting and useful to measure. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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1 of 1 people found the following review helpful:
4.0 out of 5 stars Terrific book for academics, good for pros too., 28 Jun 2001
By S. Woolston "woollers" (UK) - See all my reviews
(REAL NAME)   
I found this book both intellectually stimulating, well explained and feel much better read in the theory of computer performance modelling for it. If you don't necessarily need to follow the maths (you just need the concepts), you can skip the maths and still understand what the book is saying.

Watch out for number errors. I lost a lot of time progressing through chapter 8. When I replicated the example calculations in section 8.2 using a spreadsheet I got distinctly different numbers. I couldn't work out why because the calculations on the printed page checked out. I eventually worked out it was because the author derived a value of 0.1002 from an equation on page 142 and then used it on page 144 as a multiplicand to a very large number. If you re-play the calculations using the more accurate 0.100217511 you will notice a significantly different standard deviation is generated and therefore a more accurate conclusion. In the same calculation he uses 2.015 as a t value for a 90% confidence interval on a data set of 7 members. If you refer to appendix C, though, you'll see 2.015 is the value for 95% confidence.

Don't let these put you off the book though! The examples are still informative, the theory still sound (as far as I know!), and generally well explained.

I'm a performance professional, not an academic, and I forgot my degree level maths a long time ago. Didn't stop me understanding it, though.

As for relevance to "the job" as opposed to academic study, it's fair to say that pros don't necessarily need to understand the maths -- they just need to know the conclusions and how to apply those conclusions when modelling at work. In that context, the book is still useful. It certainly gave me more awareness as to the flaws behind the popular benchmarks. And I have used some of the theories presented to create regression modelling spreadsheets that I can use in the field.

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