Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/363582
Title: Study on migration of data from distributed database in cloud using the technique of operation research
Researcher: Musale, A D
Guide(s): Khot P G
Keywords: Computer Science
Computer Science Information Systems
Engineering and Technology
University: Gondwana University
Completed Date: 2019
Abstract: The report of the cloud computing in the course of recent years has prompted circumstance that usually to newlinenumerous advancements and new technologies. It became common for enterprises and a person to use the newlineservices that are offered in the cloud and recognize that cloud computing is a big deal even though they newlineare not clear why that is so. Even the phrase in the cloud has been used in our colloquial language. Huge newlinepercentage of the developers in the world is currently working on cloud-related products. Accordingly newlinethe cloud is this nebulous substance that should speak to the fate of present day processing. newlineWe present a methodology which precisely assesses the movement cost, relocation length and cloud newlinerunning expenses of social databases and upgraded the execution. First we have given Apache OFBiz as a newlinedatabase schema which is Oracle and MySQL type in the domain of Business Management and E-commerce. newlinewe carried out to evaluate aspects of our approach. First, we extracts of database models from newline DBLModeller . Next, we present and assess the accuracy of the database migration cost and duration newlinepredictions produced by the approach, and its estimation of cloud database running costs in Migration newlineand Running costs , respectively. In this dissertation, we have used ridge regression method for newlineworkload model. Then, update the virtual machine allocation policy to scheduling the cloudlets by ant newlinecolony optimization algorithm; which provide optimized execution time.
Pagination: VI, 158
URI: http://hdl.handle.net/10603/363582
Appears in Departments:Computer Science

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