A compumetrical approach for analysis and clustering of computer system performance variables

Niv Ahituv, Yoav Benjamini, Magid Igbaria

Research output: Contribution to journalArticlepeer-review

Abstract

Various statistical models have been constructed for analyzing the workload variables of a computer system, but most of these models fail to analyze each variable separately and identify job groups by hardware consumption patterns. In this paper we propose a compumetrical approach to analyze the computer system performance variables and to cluster the jobs into homogeneous groups. It involves using univariable and multivariable analysis and graphical methods for analyzing the variables. This approach enables us to explore data thoroughly, to look for patterns and clusters, to confirm or disprove the expected hardware consumption, and to discover new phenomena.

Original languageEnglish
Pages (from-to)489-496
Number of pages8
JournalComputers and Operations Research
Volume15
Issue number6
DOIs
StatePublished - 1988

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