Modelling the Performance Behavior of a Web Server using Statistical Factor
Assistant Professor Livia Sangeorzan
Transilvania University of Brasov
Member of the Applied Computer Science Department,
Research Laboratory Coordinator
Abstract: In studying the time in
executing the programs on the Web server, on can made the analysis of
variance technique in a more complex design, on can made a factorial design.
On can fixed the following tuple: (architecture, no. of processes, JVM
state, application, heap size, no threads, execution time).
Analysis of variance does not ignore interaction. In more complex
statistical designs estimations of variance due to interaction are made.
In the analysis of variance techniques all of the data are treated at once
and a general null hypothesis of no difference among the means of the
various groups is tested.
It is desirable to describe the joint relationship of a single Y variable to
several X variables. If the Y variable is well described by the other
variables we will want to know the existent of this dependence and the
actual multiple regression equation. On can determinate some correlations
between the fixed tuple.
Using the multiple regression equation determinate, on can modelling the
performance of a Web server behavior.