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Item type:Publication, Access status: without files , Bridging the gap between resilient networks-on-chip and real-time systemsIEEE Conventional fault-tolerance approaches for Networks-on-Chip (NoCs) cannot be applied to high dependability systems due to their different goals and constraints. These systems impose strict integrity, resilience and real-time requirements. In order to meet these requirements, all possible effects of random hardware errors must be taken into account, silent data corruption must be prevented and the resulting system must be predictable in the presence of errors. In this paper, we present a wormhole-switched NoC with virtual channels for high dependability systems hardened against soft errors. The NoC is developed based on results of a Failure Mode and Effects Analysis. It efficiently handles errors in different network layers and operates with formal guarantees. Our experimental evaluation, including an industrial avionics use case, shows that the network is able to achieve predictable behavior even in aggressive environments with very high error rates while presenting competitive overheads.Publicationtype: Journal Article90 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Designing networks-on-chip for high assurance real-time systemsConventional fault-tolerance approaches for Networks-on-Chip (NoCs) cannot be applied to high assurance real-time systems due to their different goals and constraints. These systems impose strict integrity, resilience and real-time requirements. All possible effects of hardware errors must be taken into account and the resulting system must be predictable, even in the presence of errors. In this paper, we present a wormhole-switched NoC with virtual channels for high assurance real-time systems hardened against soft errors. All possible duration and impacts of soft errors are taken into account and the resulting NoC operates with formal guarantees. Experimental evaluation shows that the network is able to provide a predictable behavior even in aggressive environments with very high error rates.Publicationtype: Conference Paper96