Title :
MICE: Monitoring and ModelIng the Context Evolution
Author :
Berardinelli, L. ; Marco, A.D. ; Paolo, F.D.
Author_Institution :
Dip. di Ing. e Sci. dell´Inf. e Mat., Univ. dell´Aquila, L´Aquila, Italy
Abstract :
Context is an application-specific set of heterogeneous data that a context-aware system should be capable to sense to accordingly adapt its behavior. Context evolution may affect the qualities of the functionalities provided by context-aware systems, in terms of variations of its non-functional properties. In this paper we propose a distributed tool that is capable to monitor, retrieve and arrange heterogeneous data from any IP-enabled device in a set of state-based awareness manager models. The latter are meant to model the context evolution and to be integrated in model-driven approaches to evaluate the impact of the evolution of context on the quality of the provisioned services.
Keywords :
data handling; ubiquitous computing; IP-enabled device; Internet protocol; MICE tool; context evolution modeling tool; context evolution monitoring tool; context-aware system; data arrangement; data monitoring; data retrieval; heterogeneous data; model-driven approach; state-based awareness manager; Analysis; Context; Modeling; Monitoring;
Conference_Titel :
Self-Adaptive and Self-Organizing Systems Workshops (SASOW), 2012 IEEE Sixth International Conference on
Conference_Location :
Lyon
Print_ISBN :
978-1-4673-5153-9
DOI :
10.1109/SASOW.2012.32