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A run-time configurable software architecture for self-managing systems

A run-time configurable software architecture for self-managing systems

Anthony, Richard, Pelc, Mariusz, Ward, Paul, Hawthorne, James and Pulnah, Kaveesh (2008) A run-time configurable software architecture for self-managing systems. In: Strassner, John, Dobson, Simon A., Fortes, José A. B. and Goswami, Kumar K., (eds.) International Conference on Autonomic Computing, 2008. ICAC 2008. Institute of Electrical and Electronics Engineers, Inc., Piscataway, NJ, USA, pp. 207-208. ISBN 978-0-7695-3175-5 (doi:10.1109/ICAC.2008.23)

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Abstract

This paper describes a highly flexible component architecture, primarily designed for automotive control systems, that supports distributed dynamically- configurable context-aware behaviour. The architecture enforces a separation of design-time and run-time concerns, enabling almost all decisions concerning runtime composition and adaptation to be deferred beyond deployment. Dynamic context management contributes to flexibility. The architecture is extensible, and can embed potentially many different self-management decision technologies simultaneously. The mechanism that implements the run-time configuration has been designed to be very robust, automatically and silently handling problems arising from the evaluation of self- management logic and ensuring that in the worst case the dynamic aspects of the system collapse down to static behavior in totally predictable ways.

Item Type: Book Section
Additional Information: This poster paper forms part of the Proceedings of the 5th IEEE International Conference on Autonomic Computing, ICAC 2008, held 2-6 June 2008, in Chicago, Illinois, USA.
Uncontrolled Keywords: autonomic computing, run-time configuration, policy-based computing,
Subjects: T Technology > TL Motor vehicles. Aeronautics. Astronautics
Q Science > QA Mathematics > QA76 Computer software
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Computer & Computational Science Research Group
School of Computing & Mathematical Sciences > Department of Computer Systems Technology
Related URLs:
Last Modified: 14 Oct 2016 09:03
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/1280

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