MICE: Monitoring and ModelIng the Context Evolution

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.