Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/224670
Title: Meta heuristic techniques for grid resource management
Researcher: Singh, Bhupinder
Guide(s): Bawa, Seema
Keywords: Engineering and Technology,Computer Science,Computer Science Hardware and Architecture
Grid Computing
Meta heuristic
University: Thapar Institute of Engineering and Technology
Completed Date: 2009
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
Pagination: xv, 129p.
URI: http://hdl.handle.net/10603/224670
Appears in Departments:Department of Computer Science and Engineering

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