Semi-Clairvoyance in Mixed-Criticality Scheduling
- Submitting institution
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University of York
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 62696748
- Type
- E - Conference contribution
- DOI
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10.1109/RTSS46320.2019.00047
- Title of conference / published proceedings
- 2019 IEEE Real-Time Systems Symposium (RTSS)
- First page
- 458
- Volume
- -
- Issue
- -
- ISSN
- 2576-3172
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2020
- URL
-
-
- Supplementary information
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-
- 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
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2
- Research group(s)
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-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A Clairvoyant scheduler can look into the future; it cannot of course be implemented but gives an upper bound on what a real scheduler can do. This paper, published in the top conference in the Real-Time domain, is the first to define and explore the notion of semi-clairvoyance. The paper proves that the semi-clairvoyant scheduler (SCC) has an improved speed-up factor over non-clairvoyant approaches and that SCC results in a polynomial-time test; previous non-SCC tests are NP-hard in the strong sense. SCC is extended further in papers published in RTSS (2020).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -