Statistical methods for computer performance evaluation
Article first published online: 24 AUG 2011
Copyright © 2011 John Wiley & Sons, Inc.
Wiley Interdisciplinary Reviews: Computational Statistics
Volume 4, Issue 1, pages 98–106, January/February 2012
How to Cite
Patil, S. and Lilja, D. J. (2012), Statistical methods for computer performance evaluation. WIREs Comp Stat, 4: 98–106. doi: 10.1002/wics.192
- Issue published online: 14 DEC 2011
- Article first published online: 24 AUG 2011
- computer performance measurement;
- statistical tools;
- performance analysis;
- performance evaluation techniques
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. WIREs Comp Stat 2012, 4:98–106. doi: 10.1002/wics.192
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