Energy-Efficient Fault Tolerance for Real-Time Tasks with Precedence Constraints on Heterogeneous Multicore Systems

Heterogeneous multicore systems have been recently received much attention due to their power efficiency and ability to handle different workloads. In this paper, we consider real-time tasks with precedence constraints and fault tolerance requirements, and investigate how they can be implemented on heterogeneous dual-core systems in energy-aware fashion. Our framework is able to tolerate one transient fault per task, and one permanent processing core fault simultaneously. We develop a number of task partitioning, ordering, and frequency assignment techniques for energy efficiency. Our experimental results indicate that the proposed techniques significantly reduce energy consumption while satisfying the fault tolerance requirements.