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Title: Certain investigations on particle swarm optimization techniques for multiprocessor scheduling
Researcher: Deeba K
Guide(s): Thanushkodi K
Keywords: Information and communication engineering
Particle Swarm Optimization
Upload Date: 11-Aug-2014
University: Anna University
Completed Date: 01/08/2012
Abstract: The present research focuses on Particle Swarm Optimization and its variant approaches for multiprocessor static and dynamic task scheduling problem Scheduling in a multiprocessor architecture has increased in the past decades due to the changing markets characterized by global competition and rapid development of new processes and technologies Two types of newlinemultiprocessor task scheduling are Static Task Scheduling and Dynamic Task Scheduling Static Task Scheduling requires prior knowledge of its execution time on the processing nodes Dynamic Task Scheduling does not require knowledge about the execution time of the tasks to be scheduled The concepts of PSO and its variants are successfully tested with static independent tasks and dynamic tasks with load balancing and without load balancing in a multiprocessor architecture to reduce the makespan of the entire schedule The static and dynamic tasks considered for scheduling in the present research are non preemptive in nature newline newline
Pagination: xxvii, 189p.
Appears in Departments:Faculty of Information and Communication Engineering

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02_certificate.pdf541.72 kBAdobe PDFView/Open
03_abstract.pdf9.87 kBAdobe PDFView/Open
04_acknowledgement.pdf6.2 kBAdobe PDFView/Open
05_contents.pdf46.96 kBAdobe PDFView/Open
06_chapter1.pdf96.39 kBAdobe PDFView/Open
07_chapter2.pdf1.25 MBAdobe PDFView/Open
08_chapter3.pdf1.13 MBAdobe PDFView/Open
09_chapter4.pdf1.15 MBAdobe PDFView/Open
10_chapter5.pdf1.27 MBAdobe PDFView/Open
11_chapter6.pdf1.25 MBAdobe PDFView/Open
12_chapter7.pdf24.99 kBAdobe PDFView/Open
13_references.pdf44 kBAdobe PDFView/Open
14_publications.pdf8.1 kBAdobe PDFView/Open
15_vitae.pdf6.13 kBAdobe PDFView/Open

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