Transferable knowledge for Low-cost Decision Making in Cloud Environments
- Submitting institution
-
Sheffield Hallam University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 3662
- Type
- D - Journal article
- DOI
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10.1109/TCC.2020.2989381
- Title of journal
- IEEE Transactions on Cloud Computing
- Article number
- -
- First page
- 1
- Volume
- 0
- Issue
- -
- ISSN
- 2168-7161
- Open access status
- Exception within 3 months of publication
- Month of publication
- May
- Year of publication
- 2020
- 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
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2
- Research group(s)
-
-
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Published in a leading CS journal, this paper focuses on the important and timely issue of multi-cloud brokerage, the main innovation being the use of transfer learning in significantly reducing overheads associated with learning application-specific models. This work was supported by Amazon Web Services’ research grant (value $10,000) and led to a successful EPSRC grant, involving Lancaster University and University of St Andrews, on Adaptive Brokerage for the Cloud (EP/R010889/£388,701). The authors have also organised a successful series of workshops on CrossCloud Infrastructure and Platforms, with the 6th instance held in 2019.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
