Clustering Categories for Better Prediction of Computer Resources Utilizations

Yoav Benjamini and Magid Igbaria

Journal of the Royal Statistical Society Series C, 1991, vol. 40, issue 2, 295-307

Abstract: In computer performance evaluation it is useful to be able to predict the level at which a job utilizes some computer hardware from its levels of utilization of other hardware resources. In a heterogeneous computing environment different categories of job may have different utilization patterns, and prediction may further depend on the category to which the job belongs. In this paper we present an algorithm for estimating a prediction function based on some continuous predictors and the membership in a category. The algorithm yields a tree structure of clusters of categories, with a single prediction function for all categories in the same cluster. An example of the algorithm's application is given.

Date: 1991
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