Meta-heuristic Techniques for Grid Resource Management

Simple item page
dc.contributor.authorSingh, Bhupinder
dc.contributor.supervisorBawa, Seema
dc.date.accessioned2010-08-02T08:53:44Z
dc.date.available2010-08-02T08:53:44Z
dc.date.issued2010-08-02T08:53:44Z
dc.descriptionPh.Den
dc.description.abstractGrid 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.en
dc.description.sponsorshipCSEDen
dc.format.extent2476539 bytes
dc.format.mimetypeapplication/octet-stream
dc.identifier.urihttp://hdl.handle.net/10266/1082
dc.language.isoenen
dc.subjectGrid Computingen
dc.subjectComputational Gridsen
dc.subjectMeta-Heuristicsen
dc.subjectGrid Schedulingen
dc.subjectGrid Resource Discoveryen
dc.titleMeta-heuristic Techniques for Grid Resource Managementen
dc.typeThesisen

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
1082.pdf
Size:
2.71 MB
Format:
Adobe Portable Document Format
Download

License bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.78 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Doctoral Theses@CSED