Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/479614
Title: Performance analysis of replication strategies for cloud based collaborative learning framework to improve learners experience
Researcher: Sathishkumar P
Guide(s): Gunasekaran M
Keywords: Engineering and Technology
Computer Science
Computer Science Artificial Intelligence
Full Vertical Fragmentation
synchronized
Collaborative learnin
University: Anna University
Completed Date: 2021
Abstract: iii newlineABSTRACT newlineCollaborative learning is an emerging way of learning by group of newlinepeople connected through internet in varied geographical locations. newlineAccessing the required information and necessary files by the collaborative newlinelearners whenever needed from cloud resource is the essential feature which newlineis in prioritydemand to ease and improve the learnerand#8223;s experience which in newlineturn enhances the effectiveness of collaborative learning. This is feasible only newlineby adapting efficient data replication framework which may aid in improving newlinelearnerand#8223;s data access performance and data availability. Improving the newlinecollaborative learners experience by easing data accessibility and data newlineavailability is the primary goal of this work. newlineData replication is the process of storing same data in multiple sites as newlinereplicas in order to ensure improved data accessibility and data availability. newlineReplicas generated will be synchronized with source and consistently will be newlinein updated state in distributed cloud collaborative environment. Thus the newlinelearner may always tend to access the recent and updated information. newlineThe main objectives of the proposed research work are to improve the newlinecollaborative learners experience by easing data accessibility and improved newlinedata availability by adapting efficient data replication strategy in distributed newlinecloud environment and to determine the optimal data locations in order to newline
Pagination: xvii, 112p.
URI: http://hdl.handle.net/10603/479614
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File24.72 kBAdobe PDFView/Open
02_prelim.pdf3.49 MBAdobe PDFView/Open
03_content.pdf358.94 kBAdobe PDFView/Open
04_abstract.pdf128.13 kBAdobe PDFView/Open
05_chapter 1.pdf694.03 kBAdobe PDFView/Open
06_chapter 2.pdf229.59 kBAdobe PDFView/Open
07_chapter 3.pdf389 kBAdobe PDFView/Open
08_chapter 4.pdf491.55 kBAdobe PDFView/Open
09_chapter 5.pdf399.88 kBAdobe PDFView/Open
10_chapter 6.pdf137.12 kBAdobe PDFView/Open
11_annexures.pdf109.27 kBAdobe PDFView/Open
80_recommendation.pdf103.59 kBAdobe PDFView/Open
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