Article ID: | iaor198810 |
Country: | United Kingdom |
Volume: | 15 |
Start Page Number: | 489 |
End Page Number: | 496 |
Publication Date: | Jun 1988 |
Journal: | Computers and Operations Research |
Authors: | Ahituv Niv, Benjamini Yoav, Igbaria Magid |
Keywords: | statistics: multivariate |
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 the authors 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.