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DC Field | Value | Language |
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dc.contributor.author | Taylor, SJE | - |
dc.contributor.author | Anagnostou, A | - |
dc.contributor.author | Kiss, T | - |
dc.contributor.author | Terstyanszky, G | - |
dc.contributor.author | Kacsuk, P | - |
dc.contributor.author | Fantini, N | - |
dc.contributor.author | Lakehal, D | - |
dc.contributor.author | Costes, J | - |
dc.date.accessioned | 2018-06-18T11:25:37Z | - |
dc.date.available | 2018-06-18T11:25:37Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | IEEE Transactions on Industrial Informatics | en_US |
dc.identifier.issn | 1941-0050 | - |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/16359 | - |
dc.description.abstract | Computational Fluid Dynamics (CFD) is widely used in manufacturing and engineering from product design to testing. CFD requires intensive computational power and typically needs high performance computing to reduce potentially long experimentation times. Dedicated high performance computing systems are often expensive for small-to-medium enterprises (SMEs). Cloud computing claims to enable low cost access to high performance computing without the need for capital investment. The CloudSME Simulation Platform aims to provide a flexible and easy to use cloud-based Platform-as-a-Service (PaaS) technology that can enable SMEs to realize the benefits of high performance computing. Our Platform incorporates workflow management and multi-cloud implementation across various cloud resources. Here we present the components of our technology and experiences in using it to create a cloudbased version of the TransAT CFD software. Three case studies favourably compare the performance of a local cluster and two different clouds and demonstrate the viability of our cloud-based approach. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
dc.subject | Computational fluid dynamics | en_US |
dc.subject | cloud computing | en_US |
dc.subject | modeling and simulation | en_US |
dc.subject | high performance computing | en_US |
dc.subject | fluid mechanics | en_US |
dc.title | Enabling Cloud-based Computational Fluid Dynamics with a Platform-as-a-Service Solution | en_US |
dc.type | Article | en_US |
dc.relation.isPartOf | IEEE Transactions on Industrial Informatics | - |
pubs.publication-status | Accepted | - |
Appears in Collections: | Dept of Computer Science Research Papers |
Files in This Item:
File | Description | Size | Format | |
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Fulltext.pdf | 4.34 MB | Adobe PDF | View/Open |
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