SEU effect analysis in a open-source router via a distributed fault injection environment

The paper presents a detailed error analysis and classification of the behavior of an open-source router when affected by Single Event Upsets (SEUs). The experimental results have been gathered on a real communication network, resorting to an ad-hoc Fault Injection system. The injector has been designed to corrupt the router during its normal service and to analyze the SEU injection effects on the overall distributed system. The performed experiments allowed the authors to identify the most critical memory regions and to cluster the router variables according to their impact on system dependability.