Robust Mixed-Criticality Systems
- Submitting institution
-
University of York
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 54887416
- Type
- D - Journal article
- DOI
-
10.1109/TC.2018.2831227
- Title of journal
- IEEE Transactions on Computers
- Article number
- -
- First page
- 1478
- Volume
- 67
- Issue
- 10
- ISSN
- 0018-9340
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
-
- Citation count
- 10
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper is first to give precise usable definitions to the notions of resilience and robustness within the context of mixed criticality systems. It develops scheduling analysis that allows system schedulability to be assessed and parameterised by required levels of robustness and resilience. Overall the proposed analysis enables systems with higher levels of survivability to be designed.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -