The Upset-Fault-Observer: A Concept for Self-healing Adaptive Fault Tolerance
2014 (English)In: Proceedings of the 2014 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2014, IEEE Computer Society, 2014, 89-96 p.Conference paper (Refereed)
Advancing integration reaching atomic-scales makes components highly defective and unstable during lifetime. This demands paradigm shifts in electronic systems design. FPGAs are particularly sensitive to cosmic and other kinds of radiations that produce single-event-upsets (SEU) in configuration and internal memories. Typical fault-tolerance (FT) techniques combine triple-modular-redundancy (TMR) schemes with run-time-reconfiguration (RTR). However, even the most successful approaches disregard the low suitability of fine-grain redundancy in nano-scale design, poor scalability and programmability of application specific architectures, small performance-consumption ratio of board-level designs, or scarce optimization capability of rigid redundancy structures. In that context, we introduce an innovative solution that exploits the flexibility, reusability, and scalability of a modular RTR SoC approach and reuse existing RTR IP-cores in order to assemble different TMR schemes during run-time. Thus, the system can adaptively trigger the adequate self-healing strategy according to execution environment metrics and user-defined goals. Specifically the paper presents: (a) the upset-fault-observer (UFO), an innovative run-time self-test and recovery strategy that delivers FT on request over several function cores but saves the redundancy scalability cost by running periodic reconfigurable TMR scan-cycles, (b) run-time reconfigurable TMR schemes and self-repair mechanisms, and (c) an adaptive software organization model to manage the proposed FT strategies.
Place, publisher, year, edition, pages
IEEE Computer Society, 2014. 89-96 p.
, NASA/ESA Conference on Adaptive Hardware and Systems, ISSN 1939-7003
partial and run-time-reconfiguration, fault-tolerance, self-healing, self-configuration, system-on-chip, hardware systems, reconfigurable IP-cores, adaptive embedded systems, reconfigurable computing
Other Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-158304DOI: 10.1109/AHS.2014.6880163ISI: 000345896600013ScopusID: 2-s2.0-84906705557ISBN: 978-1-4799-5356-1OAI: oai:DiVA.org:kth-158304DiVA: diva2:776285
2014 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2014, Leicester, United Kingdom, 14 July 2014 through 18 July 2014
QC 201501072015-01-072015-01-072015-12-01Bibliographically approved