Abstract
The probability of data corruption as a result of single event upsets (SEUs) increases as transistor sizes decrease. Software-based fault-tolerance can help offer protection against SEUs on Commercial off The Shelf (COTS) hardware. However, such fault tolerance relies on replication, for which there may be insufficient resources in resource-constrained environments. Systems in the weakly-hard real-time domain can tolerate some faults as a product of their domain. Combining both the need for fault-tolerance and the intrinsic ability to tolerate faults, we propose a new approach for applying fault-tolerance named strategy switching. Strategy switching minimizes the effective unmitigated fault-rate by switching which tasks are to be run under a fault-tolerance scheme at runtime. Our method does not require bounding the number of faults for a given number of consecutive iterations.
We show how our method improves the steady-state fault rate by analytically computing the rate for our test set of generated DAGs and comparing this against a static application of fault-tolerance. Finally, we validate our method using UPPAAL.
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Acknowledgments
This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 871259 (ADMORPH project). We thank the reviewers for their suggestions on improving this paper.
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Miedema, L., Grelck, C. (2022). Strategy Switching: Smart Fault-Tolerance for Weakly-Hard Resource-Constrained Real-Time Applications. In: Schlingloff, BH., Chai, M. (eds) Software Engineering and Formal Methods. SEFM 2022. Lecture Notes in Computer Science, vol 13550. Springer, Cham. https://doi.org/10.1007/978-3-031-17108-6_8
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