Generalized reliability-oriented energy management for real-time embedded applications

DVFS remains an important energy management technique for embedded systems. However, its negative impact on transient fault rates has been recently shown. In this paper, we propose the Generalized Shared Recovery (GSHR) technique to optimally use the DVFS technique in order to achieve a given reliability goal for real-time embedded applications. Our technique determines the optimal number of recoveries to deploy as well as task-level processing frequencies to minimize the energy consumption while achieving the reliability goal and meeting the timing constraints. The recoveries may be shared among tasks, improving the prospects of DVFS compared to existing reliability-aware power management frameworks. The experimental evaluation points to the close-to-optimal energy savings of our proposed technique.