Motivating Agent-Based Learning for Bounding Time in Mixed-Criticality Systems
Author:
Affiliation:
1. Technische Universität Dresden,Chair of Processor Design, CFAED,Dresden,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10136870/10136706/10137189.pdf?arnumber=10137189
Reference13 articles.
1. Toward the Design of Fault-Tolerance-and Peak-Power-Aware Multi-Core Mixed-Criticality Systems;ranjbar;IEEE TCAD,2022
2. Fixed-Priority Scheduling for Two-Phase Mixed-Criticality Systems;li;ACM TECS,2017
3. Learning-Oriented QoS- and Drop-Aware Task Scheduling for Mixed-Criticality Systems
4. OTAWA: An Open Toolbox for Adaptive WCET Analysis
5. A Survey of Research into Mixed Criticality Systems;burns;ACM CSUR,2017
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. ESOMICS: ML-Based Timing Behavior Analysis for Efficient Mixed-Criticality System Design;IEEE Access;2024
2. Introduction;Quality-of-Service Aware Design and Management of Embedded Mixed-Criticality Systems;2023-07-24
3. ADAPTIVE: Agent-Based Learning for Bounding Time in Mixed-Criticality Systems;2023 60th ACM/IEEE Design Automation Conference (DAC);2023-07-09
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