Pelc, Mariusz, Anthony, Richard and Kawala-Janik, Aleksandra (2011) Context-aware autonomic systems in real-time applications: performance evaluation. In: ICPCA10 - 5th International Conference on Pervasive Computing and Applications. IEEE Computer Society, Piscataway, USA, pp. 153-160. ISBN 9781424491445 (doi:10.1109/ICPCA.2010.5704090)

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Abstract

Nowadays one can observe rapid development of various technologies supporting autonomic features and context-awareness of pervasive systems. And this is perfectly understandable as these features effectively increase the systems autonomicity. However, in the case of safety-critical realtime systems it becomes crucial to determine how the entire system performance is affected by the growth in complexity of its autonomic / dynamic decision making engine which is processing the context information for control purposes. In this paper we consider policy-based computing as a candidate technology to support selected autonomic features and context-awareness in safety-critical systems. We conduct performance analysis in a generic policy-supervised system in order to determine the relation between policy complexity (reflecting decision making system complexity) and the decision evaluation time (affecting the entire system performance). We present a coherent characteristic polynomial method as a means of pre-estimation of policy evaluation time depending on its complexity. The results we present can be potentially used for pre-evaluation of whether a policy of a certain complexity level is of any applicability in a safety critical system that has to meet fixed real-time deadlines.

Item Type:	Conference Proceedings
Title of Proceedings:	ICPCA10 - 5th International Conference on Pervasive Computing and Applications
Additional Information:	This paper is part of the published proceedings from 5th International Conference on Pervasive Computing and Applications, ICPCA10 December 1, 2010 - December 3, 2010 Maribor, Slovenia
Uncontrolled Keywords:	autonomic computing, policy-based computing
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:	Publisher Organisation Organisation
Last Modified:	14 Oct 2016 09:14
URI:	http://gala.gre.ac.uk/id/eprint/5538

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