Workload modeling for computer systems performance evaluation

Dror G. Feitelson*

*Corresponding author for this work

Research output: Book/ReportBookpeer-review

154 Scopus citations

Abstract

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.

Original languageAmerican English
PublisherCambridge University Press
Number of pages551
ISBN (Electronic)9781139939690
ISBN (Print)9781107078239
DOIs
StatePublished - 1 Jan 2015

Bibliographical note

Publisher Copyright:
© Dror G. Feitelson 2015.

Keywords

  • Applied probability and stochastic networks
  • Architecture and Distributed Computing
  • Computer Hardware

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