Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/16359
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dc.contributor.authorTaylor, SJE-
dc.contributor.authorAnagnostou, A-
dc.contributor.authorKiss, T-
dc.contributor.authorTerstyanszky, G-
dc.contributor.authorKacsuk, P-
dc.contributor.authorFantini, N-
dc.contributor.authorLakehal, D-
dc.contributor.authorCostes, J-
dc.date.accessioned2018-06-18T11:25:37Z-
dc.date.available2018-06-18T11:25:37Z-
dc.date.issued2018-
dc.identifier.citationIEEE Transactions on Industrial Informaticsen_US
dc.identifier.issn1941-0050-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/16359-
dc.description.abstractComputational 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.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.subjectComputational fluid dynamicsen_US
dc.subjectcloud computingen_US
dc.subjectmodeling and simulationen_US
dc.subjecthigh performance computingen_US
dc.subjectfluid mechanicsen_US
dc.titleEnabling Cloud-based Computational Fluid Dynamics with a Platform-as-a-Service Solutionen_US
dc.typeArticleen_US
dc.relation.isPartOfIEEE Transactions on Industrial Informatics-
pubs.publication-statusAccepted-
Appears in Collections:Dept of Computer Science Research Papers

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