Multi-QoS constrained and Profit-aware scheduling approach for concurrent workflows on heterogeneous systems
- Submitting institution
-
Brunel University London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 065-195485-7001447
- Type
- D - Journal article
- DOI
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10.1016/j.future.2016.10.003
- Title of journal
- Future Generation Computer Systems
- Article number
- -
- First page
- 211
- Volume
- 68
- Issue
- -
- ISSN
- 0167-739X
- Open access status
- Deposit exception
- Month of publication
- October
- Year of publication
- 2016
- 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
-
1
- Research group(s)
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1 - Artificial Intelligence (AI)
- Citation count
- 15
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work published in FGCS (10/104 Computer Science: Theory and Methods 2016) was among the first to consider multiple QoS (quality of Service) factors on resource management of multiple and concurrent workflow applications. This method is deployed and tested with a real data set and a realistic model of the computing platform such shared links, as commonly occur in heterogeneous infrastructures. Cited by several recent influential papers (e.g., Zhang, et al. (2018), FGCS (https://doi.org/10.1016/j.future.2018.01.053) and Tong, et al. (2020), Information Sciences (https://doi.org/10.1016/j.ins.2019.10.035).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
