ArchitectureDriven Reliability and Energy Optimization for Complex Embedded Systems

Abstract. The use of redundant computational nodes is a widely used design tactic to improve the reliability of complex embedded systems. However, this redundancy allocation has also an effect on other qual-ity attributes, including energy consumption, as each of the redundant computational nodes requires additional energy. As a result, the two quality objectives are conflicting. The approach presented in this paper applies a multi-objective optimization strategy to find optimal redun-dancy levels for different architectural elements. It is implemented in the ArcheOpterix tool and validated based on a realistic case study from the automotive domain.