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 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 24.72 kB | Adobe PDF | View/Open |
02_prelim.pdf | 3.49 MB | Adobe PDF | View/Open | |
03_content.pdf | 358.94 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 128.13 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 694.03 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 229.59 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 389 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 491.55 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 399.88 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 137.12 kB | Adobe PDF | View/Open | |
11_annexures.pdf | 109.27 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 103.59 kB | Adobe PDF | View/Open |
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