An improvement of a method for the characterization of computer workload by means of arrival patterns is presented. A numerical fitting technique provides a suitable representation of the arrival rate function of jobs over one day period. In order to classify such arrival patterns, we suggest the application of the Mac Queen algorithm with coarsening and refining parameters [2], which doesn't need the number of clusters to be fixed a priori, as in the original approach [4]. Solutions for some numerical problems related to the approximation of the arrival rate function are also provided. The proposed technique has been implemented and experimental results concerning the workload characterization of an educational system are given.
A workload characterization by clustering technique
PATERNOSTER, Beatrice;SESSA, Maria Immacolata
1998-01-01
Abstract
An improvement of a method for the characterization of computer workload by means of arrival patterns is presented. A numerical fitting technique provides a suitable representation of the arrival rate function of jobs over one day period. In order to classify such arrival patterns, we suggest the application of the Mac Queen algorithm with coarsening and refining parameters [2], which doesn't need the number of clusters to be fixed a priori, as in the original approach [4]. Solutions for some numerical problems related to the approximation of the arrival rate function are also provided. The proposed technique has been implemented and experimental results concerning the workload characterization of an educational system are given.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
