Statistical methods for computer performance evaluation

Shruti Patil, David J. Lilja

Research output: Contribution to journalReview articlepeer-review

3 Scopus citations

Abstract

Computer performance has traditionally played a fundamental role in computer system design. Performance measurements and their quantitative analyses are useful in understanding and enhancing a computer system and in comparing different systems. Owing to the stochastic nature of systems, measuring performance is prone to noise and experimental errors. The field of statistics provides a rich set of tools and techniques to effectively deal with such noise and errors, allowing one to obtain meaningful measurements. Statistical techniques have also been applied in many other areas of computer performance measurement, such as designing experiments, simulation, analyzing results, and predicting performance. In this article, we present a comprehensive discussion of how statistical theories apply during the process of computer performance measurement and describe the statistical techniques that have been used in the literature.

Original languageEnglish (US)
Pages (from-to)98-106
Number of pages9
JournalWiley Interdisciplinary Reviews: Computational Statistics
Volume4
Issue number1
DOIs
StatePublished - Jan 2012

Keywords

  • Computer performance measurement
  • Performance analysis
  • Performance evaluation techniques
  • Statistical tools

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