Analyzing the Task Clustering and Task Scheduling Strategies To Improve the Performance of Scientific Workflows in Cloud

dc.contributor.guide	Srimathi C
dc.coverage.spatial
dc.creator.researcher	Jabanjalin Hilda J
dc.date.accessioned	2023-12-14T12:13:59Z
dc.date.available	2023-12-14T12:13:59Z
dc.date.awarded	2023
dc.date.completed	2023
dc.date.registered	2013
dc.description.abstract	newline
dc.description.note
dc.format.accompanyingmaterial	None
dc.format.dimensions
dc.format.extent	1-142
dc.identifier.uri	http://hdl.handle.net/10603/529275
dc.language	English
dc.publisher.institution	School of Computing Science and Engineering
dc.publisher.place	Vellore
dc.publisher.university	Vellore Institute of Technology, Vellore
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Interdisciplinary Applications
dc.subject.keyword	Engineering and Technology
dc.title	Analyzing the Task Clustering and Task Scheduling Strategies To Improve the Performance of Scientific Workflows in Cloud
dc.title.alternative
dc.type.degree	Ph.D.