Sustainability in Mixed-Criticality Scheduling

Author

Zhishan Guo, Missouri University of Science and TechnologyFollow
Sai Sruti
Bryan C. Ward
Sanjoy K. Baruah

Abstract

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.

Recommended Citation

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.

Meeting Name

38th IEEE Real-Time Systems Symposium, RTSS (2017: Dec. 5-8, Paris, France)

Department(s)

Computer Science

Research Center/Lab(s)

Intelligent Systems Center

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2017 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Dec 2017