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Monitoring and Stochastic Analysis of Component-Based Control-Systems

Fulltext:


Authors:

Anders Möller, Mikael Sjödin, Ian Peake , Heinz Schmidt

Publication Type:

Conference/Workshop Paper

Venue:

Real-Time in Sweden - the 8th biennial SNART conference on real-time systems

Abstract

A software component is a suitable vehicle to introduce advanced analysis techniques in a software-engineering context for embedded control-systems; a feat that has yet to be fully accomplished.This project is adopting a component-based approach to control-system software development. We are extending and combining methods from disparate disciplines, such as probabilistic reliability predictions, stochastic scheduling analysis and software component technologies. We study theories and methods for probabilistic modelling, analysis, and prediction of control-system software executing in resource-constrained embedded computers.Combining the behaviour models and the architectural model of a component assembly we are deriving stochastic properties, such as reliability, expected delays, and resource consumption. Using components as the fundamental unit of reuse, we employ run-time monitoring techniques to extract probabilistic models of the component behaviour.

Bibtex

@inproceedings{Moller768,
author = {Anders M{\"o}ller and Mikael Sj{\"o}din and Ian Peake and Heinz Schmidt},
title = {Monitoring and Stochastic Analysis of Component-Based Control-Systems},
month = {August},
year = {2005},
booktitle = {Real-Time in Sweden - the 8th biennial SNART conference on real-time systems},
url = {http://www.es.mdu.se/publications/768-}
}