A Risk Assessment Framework for Cloud Computing
- Submitting institution
-
The University of Leeds
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- UOA11-728
- Type
- D - Journal article
- DOI
-
10.1109/TCC.2014.2344653
- Title of journal
- IEEE Transactions on Cloud Computing
- Article number
- -
- First page
- 265
- Volume
- 4
- Issue
- 3
- ISSN
- 2168-7161
- Open access status
- Out of scope for open access requirements
- Month of publication
- July
- Year of publication
- 2014
- 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
-
3
- Research group(s)
-
-
- Citation count
- 25
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Lays the foundations for a risk assessment framework that allows flexible and dynamic provision of advanced cloud services. Part of a novel architecture to support a variety of scenarios (federated, multi-cloud, brokerage) central to the next generation cloud service ecosystems(EU OPTIMIS project), and is a step change in cloud service optimisation. The underpinning toolkit has proven to be a key reference in clouds; is being exploited by a multinational company ATOS(contact: ana.juanf@atos.net) and Flexiant UK(contact: Tony.Lucas@flexiant.com) among others as part of their core service offerings. Follow-ons: EU-project ASCETiC(€3.2M). https://doi.org/10.1109/TSUSC.2017.2719159. PhDs of Ibrahim Alzamil(2017) and Mohammad Aldossary(2019) exploited the framework.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
