Methods for multi-dimensional robustness optimization in complex embedded systems

Design space exploration of embedded systems typically focuses on classical design goals such as cost, timing, buffer sizes, and power consumption. Robustness criteria, i.e. sensitivity of the system to variations of properties like execution and transmission delays, input data rates, CPU clock rates, etc., has found less attention despite its practical relevance. In this paper we introduce multi-dimensional robustness metrics, expressing the static and dynamic design robustness of a given system, the former assuming a fixed parameter configuration, and the latter including parameter adaptations as response to property variations. Additionally, we propose a metric measuring the robustness gain that can be achieved through system reconfigurability. Since determining multi-dimensional robustness is computationally expensive we introduce efficient exploration methods based on a stochastic sensitivity analysis technique capable of deriving upper and lower robustness bounds for a given...

• Type: Conference
• Year: 2007
• Where: EMSOFT
• Authors: Arne Hamann, Razvan Racu, Rolf Ernst
• Keywords: EMSOFT 2007, Multi-dimensional Robustness, Multi-dimensional Robustness Metrics, Robustness