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.
National ICT Australia is funded by the Australian Government’s Department of Communications, Information Technology, and the Arts; the Australian Research Council through Backing Australia’s Ability and the ICT Research Centre of Excellence programs; and the Queensland Government.
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Indulska, J., Henricksen, K., Hu, P. (2006). Towards a Standards-Based Autonomic Context Management System. In: Yang, L.T., Jin, H., Ma, J., Ungerer, T. (eds) Autonomic and Trusted Computing. ATC 2006. Lecture Notes in Computer Science, vol 4158. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11839569_3
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DOI: https://doi.org/10.1007/11839569_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-38619-3
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