Multi-dimensional Robustness Optimization in Heterogeneous Distributed Embedded Systems

摘要: Embedded system optimization typically considers objectives such as cost, timing, buffer sizes, and power consumption. Robustness criteria, i.e. sensitivity of the to property variations like execution transmission delays, input data rates, CPU clock etc., has found less attention despite its practical relevance. In this paper we present an approach for optimizing multidimensional robustness criteria in complex distributed embedded systems. The key novelty our is a scalable stochastic multi-dimensional analysis technique approximating sought-after front from two sides, coming space working non-working combinations. We utilize proposed derive metrics, which are capable bounding given configurations with little computational effort. metrics can significantly speed up by quickly identifying promising configurations, whose in-depth evaluation be performed subsequently process