Abstract
This paper proposes a self-configuring middleware that uses a context management infrastructure to gather context data from various context sources and generate/update a run-time context representation. The high demand for reducing the context representation management complexity and ensuring a high tolerance and robustness, lead us to considering the self-configuring autonomic computing paradigm for the context acquisition and representation processes. The middleware defines three main layers: the acquisition layer that captures the context data from real world contexts, the context model layer that represents the context data in a programmatic manner and the context model management infrastructure layer. The middleware continuously monitors the real context to detect context variations or conditions for updating the context representation. The proposed middleware was tested and validated within the premises of our Distributed Systems Research Laboratory smart environment.
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Cioara, T., Anghel, I., Salomie, I. (2011). A Self-configuring Middleware Solution for Context Management. In: Obaidat, M.S., Filipe, J. (eds) e-Business and Telecommunications. ICETE 2009. Communications in Computer and Information Science, vol 130. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20077-9_24
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DOI: https://doi.org/10.1007/978-3-642-20077-9_24
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