WorldCIST'13 -The 2013 World Conference on Information Systems and Technologies

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A tool for Fractal Component based applications performance modelling using Stochastic Well formed Nets

Nabila SALMI
USTHB University
Algeria

Malika Ioualalen
USTHB University
Algeria

Smail Lallali
USTHB University
Algeria

Hamza Zerguine
USTHB University
Algeria

Abstract:
Today, performance prediction of component-based systems
is important to help software engineers to analyze their
applications in early stages of the development life-cycle, so that performance problems are avoided. To achieve performance prediction, modelling is a crucial step. It would be interesting if component performance models can be derived automatically. To this aim, we describe in this paper a software toolset which allows component
designers of specific systems, that are Fractal systems, to generate performance models, starting from the Fractal architectural description of their system and component behaviours. These models consist of Stochastic Well formed Nets (SWN) and Stochastic Petri nets (SPN), and can be analyzed using SPN/SWN analysis tools.
A case study illustrates the effectiveness of our approach.

 

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