Towards a standards-based autonomic context management system

Authors:
Jadwiga Indulska;Karen Henricksen;Peizhao Hu
Affiliations:
School of Information Technology and Electrical Engineering, The University of Queensland, and, National ICT Australia (NICTA);School of Information Technology and Electrical Engineering, The University of Queensland, and, National ICT Australia (NICTA);School of Information Technology and Electrical Engineering, The University of Queensland, and, National ICT Australia (NICTA)
Venue:
ATC'06 Proceedings of the Third international conference on Autonomic and Trusted Computing
Year:
2006

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Abstract

Pervasive computing applications must be sufficiently autonomous to adapt their behaviour to changes in computing resources and user requirements. This capability is known as context-awareness. In some cases, context-aware applications must be implemented as autonomic systems which are capable of dynamically discovering and replacing context sources (sensors) at run-time. Unlike other types of application autonomy, this kind of dynamic reconfiguration has not been sufficiently investigated yet by the research community. However, application-level context models are becoming common, in order to ease programming of context-aware applications and support evolution by decoupling applications from context sources. We can leverage these context models to develop general (i.e., application-independent) solutions for dynamic, run-time discovery of context sources (i.e., context management). This paper presents a model and architecture for a reconfigurable context management system that supports interoperability by building on emerging standards for sensor description and classification.