Scheduling shared continuous resources on many-cores
- Submitting institution
-
Loughborough University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2456
- Type
- D - Journal article
- DOI
-
10.1007/s10951-017-0518-0
- Title of journal
- Journal of Scheduling
- Article number
- -
- First page
- 77
- Volume
- 21
- Issue
- 1
- ISSN
- 1094-6136
- Open access status
- Deposit exception
- Month of publication
- April
- Year of publication
- 2017
- 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
-
7
- Research group(s)
-
-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This article investigates a scheduling problem with a shared continuous resource and initiated more research in this area, for example "Scheduling with Interjob Communication on Parallel Processors" by König et al. (https://bit.ly/38XAiXz), "Sharing is Caring: Multiprocessor Scheduling with a Sharable Resource" by Kling et al. (https://bit.ly/3qzCXwy), "Improved Scheduling with a Shared Resource via Structural Insights" by Damerius et al. (https://bit.ly/3nXVPDN).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -