Meta heuristic techniques for grid resource management

dc.contributor.guide	Bawa, Seema
dc.coverage.spatial
dc.creator.researcher	Singh, Bhupinder
dc.date.accessioned	2018-12-26T11:10:02Z
dc.date.available	2018-12-26T11:10:02Z
dc.date.awarded
dc.date.completed	2009
dc.date.registered
dc.description.abstract	Grid Computing inspired by electrical power grid is an emerging trend for making easy access to computing resources. Resource Management in computational grids is a compute intensive task. A new area of research has been setup that use meta-heuristics to find optimal / near optimal solution. This thesis focuses on the use of meta-heuristics like GA, SA, ACO or some hybrid techniques for optimizing resource management. newline
dc.description.note
dc.format.accompanyingmaterial	None
dc.format.dimensions
dc.format.extent	xv, 129p.
dc.identifier.uri	http://hdl.handle.net/10603/224670
dc.language	English
dc.publisher.institution	Department of Computer Science and Engineering
dc.publisher.place	Patiala
dc.publisher.university	Thapar Institute of Engineering and Technology
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Engineering and Technology,Computer Science,Computer Science Hardware and Architecture
dc.subject.keyword	Grid Computing
dc.subject.keyword	Meta heuristic
dc.title	Meta heuristic techniques for grid resource management
dc.title.alternative
dc.type.degree	Ph.D.