Computer performance evaluation: an empirical approach

Authors:
Jon D. Clark;Thomas J. Reynolds;Michael J. Intille
Affiliations:
The University of Texas at Dallas, Richardson, Texas;The University of Texas at Dallas, Richardson, Texas;Central and South West Services, Inc., Dallas, Texas
Venue:
ACM SIGMETRICS Performance Evaluation Review
Year:
1979

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Abstract

Computer performance evaluation can be delineated into the areas of selection, projection and monitoring. The tuning of existing systems for efficient performance may be viewed as a special case of the projection activity involving modeling, statistics collection and analysis. Mosts tools available today are expensive to use and overly complicated. This paper presents the comparison of two, relatively simple and cost-effective, statistical techniques for performance evaluation: regression and canonical analysis. In addition, the results of the suggested and implemented computer configuration modification is reported.