High-level Language Support for the Control of Reconfigurations in Component-based Architectures

International audienceNowadays, smart home is extended beyond the house itself to encompass connected platforms on the Cloud as well as mobile personal devices. This Smart Home Extended Architecture (SHEA) helps customers to remain in touch with their home everywhere and any time. The endless increase of connected devices in the home and outside within the SHEA multiplies the deployment possibilities for any application. Therefore, SHEA should be taken from now as the actual target platform for smart home application deployment. Every home is different and applications offer different services according to customer preferences. To manage this variability, we extend the feature modeling from software product line domain with deployment constraints and we present an example of a model that could address this deployment challenge

Planning Self-Adaption with Graph Transformations

Self-adaptive systems autonomously adjust their behavior in order to achieve their goals despite changes in the environment and the system itself. Self-adaption is typically implemented in software and often expressed in terms of architectural reconfiguration. The graph transformation formalism is a natural way to model the architectural reconfiguration in self-adaptive systems.In this paper, we present (1) how we employ graph transformations for the specification of architectural reconfiguration and (2) how we transform graph transformations into actions of the Planning Domain Definition Language (PDDL) in order to use off-the-shelf tools for the computation of self-adaptation plans. We illustrate our approach by a self-healing process and show the results of a simulation case study