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  3. Workload Modeling for Computer Systems Performance Evaluation
  • Cited by 124
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    • Publisher:
      Cambridge University Press
      Publication date:
      March 2015
      March 2015
      ISBN:
      9781139939690
      DOI:
      https://doi.org/10.1017/CBO9781139939690
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      • Subjects:
      Computer Hardware, Architecture and Distributed Computing, Computer Science, Applied Probability and Stochastic Networks, Statistics and Probability
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    Subjects:
    Computer Hardware, Architecture and Distributed Computing, Computer Science, Applied Probability and Stochastic Networks, Statistics and Probability
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    Book description

    Reliable performance evaluations require the use of representative workloads. This is no easy task since modern computer systems and their workloads are complex, with many interrelated attributes and complicated structures. Experts often use sophisticated mathematics to analyze and describe workload models, making these models difficult for practitioners to grasp. This book aims to close this gap by emphasizing the intuition and the reasoning behind the definitions and derivations related to the workload models. It provides numerous examples from real production systems, with hundreds of graphs. Using this book, readers will be able to analyze collected workload data and clean it if necessary, derive statistical models that include skewed marginal distributions and correlations, and consider the need for generative models and feedback from the system. The descriptive statistics techniques covered are also useful for other domains.

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