Learning-Based Drop-Aware Mixed-Criticality Task Scheduling
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-38960-3_5
Reference20 articles.
1. S. Baruah et al. “The preemptive uniprocessor scheduling of mixed-criticality implicit-deadline sporadic task systems”. In: Proc. of Euromicro Conference on Real-Time Systems (ECRTS). 2012, pp. 145–154.
2. B. Ranjbar et al. “FANTOM: Fault Tolerant Task-Drop Aware Scheduling for Mixed-Criticality Systems”. In: IEEE Access 8 (2020), pp. 187232–187248. https://doi.org/10.1109/ACCESS.2020.3031039.
3. Zheng Li and Shuibing He. “Fixed-Priority Scheduling for Two-Phase Mixed- Criticality Systems”. In: ACM Transactions on Embedded Computing Systems (TECS) 17.2 (2018), pp. 1–20.
4. B. Ranjbar et al. “Toward the Design of Fault-Tolerance- and Peak-Power-Aware Multi-Core Mixed-Criticality Systems”. In: arXiv preprint arXiv:2105-.07739 (2021).
5. Sai Manoj Pudukotai Dinakarrao et al. “Application and thermal-reliability-aware reinforcement Learning based multi-core power management”. In: ACM Journal on Emerging Technologies in Computing Systems (JETC) 15.4 (2019), pp. 1–19.
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