Self-adaptive and online QoS modeling for cloud-based software services
- Submitting institution
-
Loughborough University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1976
- Type
- D - Journal article
- DOI
-
10.1109/tse.2016.2608826
- Title of journal
- IEEE Transactions on Software Engineering
- Article number
- -
- First page
- 453
- Volume
- 43
- Issue
- 5
- ISSN
- 0098-5589
- Open access status
- Technical exception
- Month of publication
- September
- 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)
-
-
- Citation count
- 19
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- In 2019, this paper was listed as one of the trending articles at TSE (https://tinyurl.com/y4smjyyd). The work has also been recognised by leading scholars, e.g., a survey authored by Prof. Rajkumar Buyya (IEEE Fellow) from University of Melbourne recognised that it can achieve “more general purpose” modelling (https://tinyurl.com/tb7bu8u). A paper by Prof. Wouter Joosen from KU Leuven also recognised this work as “an important improvement” (https://tinyurl.com/swt2e8d).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -