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Modelling Predictable Component-Based Distributed Control Architectures
Anacapri (Capri Island), Italy October 01-October 03
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WORDS.2003.1267550Ninth IEEE International Workshop on ...
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Heinz W. Schmidt, Monash University
Ian D. Peake, Monash University
Jue Xie, Monash University
Ian Thomas, Monash University
Bernd J. Krämer, FernUniversität in Hagen
Alexander Fay, ABB Corporate Research Center
Peter Bort, ABB Corporate Research Center
Current models of component architectures require extensions to support compositional reasoning about extra-functional properties such as worst-case time. Studying such properties in architectures is complicated since actual components may not yet be chosen during architectural design, and different choices may have significant and hard to predict effects on the system properties. In this paper we show how finite state automata and Petri nets may be extended to provide compositionality of extra-functional properties. We focus on worst-case time and safety. We illustrate the use of these techniques on the well-known production cell case study. In collaboration with industry we are currently applying a prototype analysis system for predicting critical properties of real-time industrial control systems.
Citation:
Heinz W. Schmidt, Ian D. Peake, Jue Xie, Ian Thomas, Bernd J. Krämer, Alexander Fay, Peter Bort, "Modelling Predictable Component-Based Distributed Control Architectures," words, pp.339, Ninth IEEE International Workshop on Object-Oriented Real-Time Dependable Systems (WORDS'03F), 2003
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