Self-adaptive trade-off decision making for autoscaling cloud-based services
- Submitting institution
-
Loughborough University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1977
- Type
- D - Journal article
- DOI
-
10.1109/tsc.2015.2499770
- Title of journal
- IEEE Transactions on Services Computing
- Article number
- -
- First page
- 618
- Volume
- 10
- Issue
- 4
- ISSN
- 1939-1374
- Open access status
- Out of scope for open access requirements
- Month of publication
- November
- Year of publication
- 2015
- 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)
-
-
- Citation count
- 18
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The output impacted the state of the art by improving the balanced trade-off configuration in the cloud environment. The research has been widely endorsed, e.g., a paper authored by Prof. Kun Yang (IET Fellow) from University of Essex has commented that the work is a “mature technique” and can “increase processing capacity” (https://tinyurl.com/rtjejms). The research subsequently led to a Paul and Yuanbi Ramsay Research Grant from the University of Birmingham.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -