Low Power Reconfigurations Of Real-Time Embedded Systems

This thesis deals with low power dynamic reconfigurations of real-time embedded systems. A reconfiguration scenario means the addition, removal or update of tasks in order to save the whole system at the occurrence of hardware/software faults, or also to improve its performance at run-time. When such a scenario is applied, the energy consumption can be increased or some real-time constraints can be violated. An agent-based architecture was defined where an intelligent software agent is proposed to check each dynamic reconfiguration scenario and to suggest for users useful technical solutions that minimize the energy consumption. It proposes first of all to modify periods, or to reduce execution times of tasks or finally to remove some of them. Users should choose one of these solutions in order to guarantee a low power consumption satisfying limitations in capacities of used batteries. We developed and tested a tool supporting all these services to be evaluated in the research work.