Bio inspired approaches for dynamic resource allocation and strategies for efficient load balancing and task scheduling in cloud computing

dc.contributor.guide	A Rama Mohan Reddy
dc.coverage.spatial
dc.creator.researcher	P Neelima
dc.date.accessioned	2023-02-18T11:55:45Z
dc.date.available	2023-02-18T11:55:45Z
dc.date.awarded	2023
dc.date.completed	2022
dc.date.registered	2013
dc.description.abstract	newline
dc.description.note
dc.format.accompanyingmaterial	DVD
dc.format.dimensions
dc.format.extent
dc.identifier.uri	http://hdl.handle.net/10603/463352
dc.language	English
dc.publisher.institution	Department of Computer Science and Engineering
dc.publisher.place	Anantapuram
dc.publisher.university	Jawaharlal Nehru Technological University, Anantapuram
dc.relation	No of References 236
dc.rights	university
dc.source.university	University
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Artificial Intelligence
dc.subject.keyword	Engineering and Technology
dc.title	Bio inspired approaches for dynamic resource allocation and strategies for efficient load balancing and task scheduling in cloud computing
dc.title.alternative
dc.type.degree	Ph.D.