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Measuring Computer Performance

Measuring Computer Performance

Measuring Computer Performance

A Practitioner's Guide
David J. Lilja , University of Minnesota
January 2005
This ISBN is for an eBook version which is distributed on our behalf by a third party.
Adobe eBook Reader
9780511036279

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    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.

    • Offers clear explanations of practical techniques for computer systems performance analysis
    • Provides intuitive coverage of key statistical tools
    • Integrates detailed descriptions of benchmark programmes
    • Includes a glossary of important technical terms

    Reviews & endorsements

    "Lija's book is conceptually well formaulated, mathematically well grounded, and even intuitively appealing...This book is clearly an essential reference for professional engaed in computer (or network) performance measurement and capacity planning." Computing Reviews April 2001

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    Product details

    September 2005
    Paperback
    9780521646703
    280 pages
    244 × 170 × 15 mm
    0.45kg
    38 b/w illus. 48 tables 104 exercises
    Available

    Table of Contents

    • 1. Introduction
    • 2. Metrics of performance
    • 3. Average performance and variability
    • 4. Errors in experimental measurements
    • 5. Comparing alternatives
    • 6. Measurement tools and techniques
    • 7. Benchmark programs
    • 8. Linear regression models
    • 9. Design of experiments
    • 10. Simulation and random number generation
    • 11. Queueing analysis
    • Glossary
    • Appendices.
      Author
    • David J. Lilja , University of Minnesota