Early Detection of Task Failure and Rescheduling Method for Scientific Workflow Management Systems

dc.contributor.guide	Umamakeswari A
dc.coverage.spatial
dc.creator.researcher	Padmakumari P
dc.date.accessioned	2022-03-17T10:33:35Z
dc.date.available	2022-03-17T10:33:35Z
dc.date.awarded	2020
dc.date.completed	2020
dc.date.registered	2013
dc.description.abstract	Abstract Included newline
dc.description.note	References 79-87p Appendix 80-90p
dc.format.accompanyingmaterial	None
dc.format.dimensions	28cm
dc.format.extent	xvi, 90p
dc.identifier.uri	http://hdl.handle.net/10603/368895
dc.language	English
dc.publisher.institution	School of Computing
dc.publisher.place	Thanjavur
dc.publisher.university	SASTRA University
dc.relation	75
dc.rights	university
dc.source.university	University
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Theory and Methods
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Scientific workflows
dc.subject.keyword	Task failure Detection
dc.subject.keyword	Workflow Management Systems
dc.title	Early Detection of Task Failure and Rescheduling Method for Scientific Workflow Management Systems
dc.title.alternative
dc.type.degree	Ph.D.