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    • Publisher:
      Cambridge University Press
      Publication date:
      15 December 2009
      20 July 2000
      ISBN:
      9780511612398
      9780521646703
      Dimensions:
      Weight & Pages:
      Dimensions:
      (247 x 174 mm)
      Weight & Pages:
      0.455kg, 280 Pages
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  • Selected: Digital
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    Book 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.

    Reviews

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

    Source: 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 Source: Computing Reviews

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