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Statistical-based Response-Time Analysis of Systems with Execution Dependencies between Tasks

Fulltext:


Authors:

Yue Lu, Thomas Nolte, Johan Kraft, Christer Norström

Research group:

Industrial Software Engineering

Publication Type:

Conference/Workshop Paper

Venue:

Proceedings of the Work-In-Progress (WIP) track of the 30th IEEE Real-Time Systems Symposium (RTSS09)

Abstract

This paper presents a novel statistical-based approach to Worst-Case Response-Time (WCRT) analysis of complex system models. These system models have been tailored to capture intricate execution dependencies between tasks, inspired by real industrial control systems. The proposed WCRT estimation algorithm is based on Extreme Value Theory (EVT) and produces both WCRT estimates together with a predictable probability of being exceeded (i.e., 10^{-9}). By using the tools developed, we validate the proposed method by evaluating a model taken from the real industrial control system, and we show the results in comparison with other four analysis methods.

Bibtex

@inproceedings{Lu1576,
author = {Yue Lu and Thomas Nolte and Johan Kraft and Christer Norstr{\"o}m},
title = {Statistical-based Response-Time Analysis of Systems with Execution Dependencies between Tasks},
pages = {73--76},
month = {December},
year = {2009},
booktitle = {Proceedings of the Work-In-Progress (WIP) track of the 30th IEEE Real-Time Systems Symposium (RTSS09)},
url = {http://www.es.mdu.se/publications/1576-}
}