1. Shodhganga@INFLIBNET
  2. Thapar Institute of Engineering and Technology
  3. Department of Computer Science and Engineering
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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file4(chapter 1).pdf668.56 kBAdobe PDFView/Open
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file6(chapter 3).pdf128.15 kBAdobe PDFView/Open
file7(chapter 4).pdf250.8 kBAdobe PDFView/Open
file8(chapter 5).pdf751.69 kBAdobe PDFView/Open
file9(chapter 6).pdf151.38 kBAdobe PDFView/Open
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