Law, Stephen Andrew, Bate, Iain John orcid.org/0000-0003-2415-8219 and Lesage, Benjamin Michael Jean-Rene (2019) Industrial Application of a Partitioning Scheduler to Support Mixed Criticality Systems. In: Proceedings of the 31st Euromicro Conference on Real-Time Systems (ECRTS 2019).
Abstract
The ever-growing complexity of safety-critical control systems continues to require evolution in control system design, architecture and implementation. At the same time the cost of developing such systems must be controlled and importantly quality must be maintained. This paper examines the application of Mixed Criticality System (MCS) research to a DAL-A aircraft engine Full Authority Digital Engine Control (FADEC) system which includes studying porting the control system’s software to a preemptive scheduler from a non-preemptive scheduler. The paper deals with three key challenges as part of the technology transitions. Firstly, how to provide an equivalent level of fault isolation to ARINC 653 without the restriction of strict temporal slicing between criticality levels. Secondly extending the current analysis for Adaptive Mixed Criticality (AMC) scheduling to include the overheads of the system. Finally the development of clustering algorithms that automatically group tasks into larger super-tasks to both reduce overheads whilst ensuring the timing requirements, including the important task transaction requirements, are met.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Rolls-Royce Plc; licensed under Creative Commons License CC-BY 31st Euromicro Conference on Real-Time Systems (ECRTS 2019). |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
Funding Information: | Funder Grant number INNOVATE UK KTP010577/510823 |
Depositing User: | Pure (York) |
Date Deposited: | 16 Jul 2019 10:40 |
Last Modified: | 21 Nov 2024 00:19 |
Status: | Published |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:148617 |