Pelc, Mariusz, Anthony, Richard, Ward, Paul and Hawthorne, James (2009) Towards context-awareness and self-configuration of embedded systems: resource usage and real-time characteristics. Proceedings 7th Workshop on Advanced Control and Diagnosis 19-20 November 2009, Zielona Góra, PL. European Institute for Applied Research (IAR), Poland.

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Abstract

Embedded systems are becoming truly ubiquitous in society, with new applications and usage domains appearing at a rapid rate. There is an increasing interest in, and need
for, solutions which give these systems the ability to adjust their behaviour to the current environment conditions. Although context-awareness and self-configuration features are obvious responses to the needs mentioned, each potential implementation of them is inevitably a compromise between level of flexibility achieved and the accompanying resource costs. This
balance is especially vital in the case of resource constrained embedded systems, which dominate in many application domains. In this situation it is extremely important to provide solutions for which the resource configuration can be accurately predicted for a given scenarios, and thus validation can be extended beyond behavioural correctness, to include real-time
performance characteristics and resource usage such as memory, even though the precise operating circumstances may be unknown in advance.
In this paper we present a middleware architecture and accompanying software component model supporting self-configuration, context-awareness and dynamic decision making within embedded systems. The solution is scrutinised from the point of view of resource usage and efficiency and real-time performance, using typical hardware and operating platforms.

Item Type:	Book Section
Additional Information:	This paper forms part of Proceedings 7th Workshop on Advanced Control and Diagnosis 19-20 November 2009, Zielona Góra, PL
Uncontrolled Keywords:	reconfigurable architectures, dynamic decision making, context-aware systems
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Pre-2014 Departments:	School of Computing & Mathematical Sciences School of Computing & Mathematical Sciences > Department of Computer Systems Technology
Related URLs:	Organisation
Last Modified:	08 Oct 2019 09:22
URI:	http://gala.gre.ac.uk/id/eprint/5536

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