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Please use this identifier to cite or link to this item: https://dr.ddn.upes.ac.in//xmlui/handle/123456789/2146
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dc.contributor.authorSangal, Kuber-
dc.date.accessioned2015-05-23T10:32:20Z-
dc.date.available2015-05-23T10:32:20Z-
dc.date.issued2015-
dc.identifier.citationSubmitted Under The Guidance Of: Dr. Amit Agarwalen_US
dc.identifier.urihttp://hdl.handle.net/123456789/2146-
dc.publisherM-Tech (AI ANN), Department of Computer Science & Engineering, College of Engineering Studiesen_US
dc.subjectArtificial Intelligenceen_US
dc.titleSODA-M : Schedule optimization with duplication bases scheduling algorithm for multiple workflows in cloud computingen_US
dc.typeOtheren_US
Appears in Collections:Post Graduate

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