CloudGenius: A Hybrid Decision Support Method for Automating the Migration of Web Application Clusters to Public Clouds
- Submitting institution
-
University of Newcastle upon Tyne
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 226313-197872-1292
- Type
- D - Journal article
- DOI
-
10.1109/TC.2014.2317188
- Title of journal
- IEEE Transactions on Computers
- Article number
- -
- First page
- 1336
- Volume
- 64
- Issue
- 5
- ISSN
- 0018-9340
- Open access status
- Compliant
- Month of publication
- May
- Year of publication
- 2014
- URL
-
http://dx.doi.org/10.1109/TC.2014.2317188
- 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
-
4
- Research group(s)
-
F - Networked and Ubiquitous Systems Engineering (NUSE)
- Citation count
- 40
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper, resulting from an international collaboration, investigated a novel combination of multi-criteria optimisation and multi-criteria decision-making techniques to tackle an unsolved NP-hard research problem: “how to dynamically migrate web application cluster to public clouds while satisfying conflicting selection criteria like throughput and cost?” The research was published in the leading journal for computer hardware design (Google Scholar), and its wider significance and influence is evidenced by the citation statistics available from Google (78), Scopus (51), and Web-of-Science (39).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -