Moving Towards a Distributed Network of Proactive, Self-Adaptive and Context-Aware Systems

Instead of being static and waiting passively for instructions, software systems are required to take a more proactive approach in their behavior in order to anticipate and to adapt to the needs of their users. To design and develop such systems in an affordable, predictable and timely manner is a great engineering challenge. Even though there have been notable steps towards distributed self-adaptive and contextaware systems, there is still a lack of methodologies on how to model and implement applications which have to distribute and to manage large amounts of information. In this work-inprogress, we address this issue by proposing a self-adaptive and context-aware model with a structure that allows the system to learn from the user’s behavior by using Proactive Computing. The novelty comes from the possibility of having a distributed network of Proactive Engines in which the exchange of contextual information would help each system to take smart decisions. Keywords—self-adaptive systems; context-aware systems; proactive computing; distributed network.