Sustainability in Mixed-Criticality Scheduling
Sustainability is a formalization of the requirement for scheduling algorithms and schedulability tests that a system deemed to be correctly schedulable should remain so if its runtime behavior is better than anticipated. The notion of sustainability is extended to mixed-criticality systems, and sustainability properties are determined for a variety of widely-studied uniprocessor and multi-processor mixed-criticality scheduling algorithms.
Z. Guo et al., "Sustainability in Mixed-Criticality Scheduling," Proceedings of the 38th IEEE Real-Time Systems Symposium (2017, Paris, France), Institute of Electrical and Electronics Engineers (IEEE), Dec 2017.
38th IEEE Real-Time Systems Symposium, RTSS (2017: Dec. 5-8, Paris, France)
Intelligent Systems Center
Article - Conference proceedings
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