Model-driven approach for self-aware pervasive systems

Abstract

Pervasive computing vision considers the growing concentration of small computers merged into everyday objects to enhance environment with added-value services. In this vision computing systems are numerous, heterogeneous, and dynamic, yet seamlessly integrated. The complexity of pervasive environments can lead to conflicts between systems, but it can also be a strength if systems manage to collaborate. They need to understand and reason about their objectives, capabilities and environment. This paper investigates the definition and the relevancy of self-awareness for leveraging collaboration in pervasive environment, with a model-driven approach.