Enabling Cloud-based Computational Fluid Dynamics with a Platform-as-a-Service Solution
- Submitting institution
-
The University of Westminster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- q59v3
- Type
- D - Journal article
- DOI
-
10.1109/TII.2018.2849558
- Title of journal
- IEEE Transactions on Industrial Informatics
- Article number
- -
- First page
- 85
- Volume
- 15
- Issue
- 1
- ISSN
- 1551-3203
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2018
- 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
-
7
- Research group(s)
-
-
- Citation count
- 6
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper introduces and evaluates a novel Platform as a Service cloud computing solution that facilitates and significantly fastens up the development and execution of cloud-enabled computational fluid dynamics (CFD) applications. Beyond the case-studies presented in the paper, the results have also led to the creation of a start-up company (https://cloudsme.eu/, CEO Andreas Ocklenburg – andreas.ocklenburg@cloudsme.eu) and the resulting platform has been utilised by several additional CFD companies, for example DHCAE (https://www.dhcae-tools.com/). The described solution was further generalised and supports applications well beyond computational fluid dynamics, for example in the EU funded CloudiFacturing (https://www.cloudifacturing.eu/) project.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
