A self-aware, reconfigurable architecture for context awareness

Urban environments are increasingly pervaded by ICT devices. Soon, citizens and technologies could collaboratively constitute large-scale socio-technical organisms supporting both individual and collective awareness. This paper illustrates a modern awareness framework rooted in this scenario. The framework has been designed to collect and classify data streams in a modular way. It supports service oriented, reconfigurable components and provides a solid background to put at joint work specification- and data-driven approaches. Furthermore, we use the framework to experimentally evaluate an innovative meta-classification scheme based on state-automata for (i) improving energy efficiency, (ii) improving classification accuracy and (iii) improving software engineering of aware systems.