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Probabilistic Simulation-based Analysis of Complex Real-Times Systems
Publication Type:
Conference/Workshop Paper
Venue:
will appear in the 6th IEEE International Symposium on Object-oriented Real-time distributed Computing
Publisher:
IEEE Computer Society
Abstract
Many industrial real-time systems have evolved over a long period of
time and were initially so simple that it was possible to predict
consequences of adding new functionality by common sense. However, as
the system evolves the possibility to predict the consequences of
changes becomes more and more difficult unless models and analysis
method can be used. Moreover, traditional real-time models, e.g., fixed
priority analysis, may be too simple for accurately capturing a complex
system\\\\\\\\\\\\\\\s characteristics. For instance, assuming worst-case execution
time may not be realistic. Hence, analyses based on these models may
give an overly pessimistic result.In this paper we describe our approach to introducing analyzability
into complex real-time control systems. The proposed method is based
on analytical models and discrete-event based simulation of the system
behavior based on these models. The models describe execution times as
statistical distributions which are measured and calculated in the
existing system. Simulation will not only enable models with
statistical execution times, but also correctness criterion other than
meeting deadlines, e.g., non-empty communication queues. The simulation
result is analyzed by specifying properties in a probabilistic
property language. The result of such an analysis is either of
probabilistic nature or boolean depending on how the property
is specified. Having accurate system models enable analysis of the
impact on the temporal behavior of, e.g., customizing or maintaining
the software.
Bibtex
@inproceedings{Wall402,
author = {Anders Wall and Johan Kraft and Christer Norstr{\"o}m},
title = {Probabilistic Simulation-based Analysis of Complex Real-Times Systems},
month = {May},
year = {2003},
booktitle = {will appear in the 6th IEEE International Symposium on Object-oriented Real-time distributed Computing},
publisher = {IEEE Computer Society},
url = {http://www.es.mdu.se/publications/402-}
}