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Title: A genetic algorithm based approach for multi objective optimization of real time scheduling
Researcher: Muthuselvi, R
Guide(s): Rajaram, R
Keywords: genetic algorithm
information and communication engineering
Upload Date: 8-Sep-2014
University: Anna University
Completed Date: 01/07/2011
Abstract: With the many fold increase in CPU processing power the use of newlinespinning magnetic disks for data storage is very crucial For real time newlineapplications like multimedia the order in which the read write requests are newlinesubmitted to storage volumes is very important Arranging the readwrite newlinerequests is called disk scheduling Since the invention of movable head disks newlineseveral algorithms have been developed to improve the performance of disk newlinescheduling Genetic algorithm based approaches are proposed in this thesis to newlineoptimize disk scheduling The crucial challenge that decides the success of newlinerealtime disk scheduling algorithm lies in simultaneously achieving the two newlinecontradicting objectives namely completion time and missed tasks This newlinework is motivated toward developing such an algorithm The goal of this newlinework is to demonstrate that the simultaneous optimization of completion time newlineand missed tasks produces an efficient schedule for realtime disk scheduling newlineThe objective function is designed to minimize the two parameters newlinecompletion time and the number of missed tasks newline newline
Pagination: xiv,102p.
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File38.85 kBAdobe PDFView/Open
02_certificates.pdf1.26 MBAdobe PDFView/Open
03_abstract.pdf8.59 kBAdobe PDFView/Open
04_acknowledgement.pdf5.54 kBAdobe PDFView/Open
05_contents.pdf19.78 kBAdobe PDFView/Open
06_chapter 1.pdf23.8 kBAdobe PDFView/Open
07_chapter 2.pdf41.52 kBAdobe PDFView/Open
08_chapter 3.pdf947.78 kBAdobe PDFView/Open
09_chapter 4.pdf992.06 kBAdobe PDFView/Open
10_chapter 5.pdf7.93 kBAdobe PDFView/Open
11_appendix.pdf21.59 kBAdobe PDFView/Open
12_references.pdf31.84 kBAdobe PDFView/Open
13_publications.pdf6.84 kBAdobe PDFView/Open
14_vitae.pdf5.66 kBAdobe PDFView/Open

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