Context-aware autonomic systems in real-time applications: performance evaluation

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

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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.

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