A genetic algorithm enhanced automatic data flow management solution for facilitating data intensive applications in the cloud

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/17686

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DC Field	Value	Language
dc.contributor.author	Li, S	-
dc.contributor.author	Huang, Z	-
dc.contributor.author	Han, L	-
dc.contributor.author	Jiang, C	-
dc.date.accessioned	2019-03-13T09:30:14Z	-
dc.date.available	2018-12-10	-
dc.date.available	2019-03-13T09:30:14Z	-
dc.date.issued	2018-11-12	-
dc.identifier.citation	Concurrency Computation, 2018, 30 (23)	en_US
dc.identifier.issn	1532-0626	-
dc.identifier.issn	http://dx.doi.org/10.1002/cpe.4844	-
dc.identifier.issn	1532-0634	-
dc.identifier.uri	http://bura.brunel.ac.uk/handle/2438/17686	-
dc.description.sponsorship	National Basic Research Program (973) of China and Science and Technology Commission of Shanghai Municipality	en_US
dc.language.iso	en	en_US
dc.publisher	Wiley	en_US
dc.subject	cloud computing	en_US
dc.subject	genetic algorithm	en_US
dc.subject	Petri Net	en_US
dc.subject	data flows	en_US
dc.subject	computation cost optimization	en_US
dc.title	A genetic algorithm enhanced automatic data flow management solution for facilitating data intensive applications in the cloud	en_US
dc.type	Article	en_US
dc.identifier.doi	http://dx.doi.org/10.1002/cpe.4844	-
dc.relation.isPartOf	Concurrency Computation	-
pubs.issue	23	-
pubs.publication-status	Published	-
pubs.volume	30	-
dc.identifier.eissn	1532-0634	-
Appears in Collections:	Dept of Electronic and Electrical Engineering Embargoed Research Papers

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