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Varia, J. (2010) Migrating your Existing Application to AWS cloud. A Phase Driven Approach to Cloud Migration, viewed 12th July 2015 http://media.amazonwebservices.com/CloudMigration-main.pdf.

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Article

Migrating University’s Database to the Cloud - Framework and Validation

1Department of Computing and Informatics, University of Nairobi, Kenya


American Journal of Computing Research Repository. 2016, Vol. 4 No. 1, 1-6
DOI: 10.12691/ajcrr-4-1-1
Copyright © 2016 Science and Education Publishing

Cite this paper:
Lydiah W. Gachanja, Andrew M Kahonge. Migrating University’s Database to the Cloud - Framework and Validation. American Journal of Computing Research Repository. 2016; 4(1):1-6. doi: 10.12691/ajcrr-4-1-1.

Correspondence to: Lydiah  W. Gachanja, Department of Computing and Informatics, University of Nairobi, Kenya. Email: gachanjawairimu@gmail.com

Abstract

All migration projects require careful planning and good methodology to ensure proper execution. Migrating enterprise data to cloud is a difficult task. Efforts to standardize cloud data migration has been going on and several frameworks have been proposed; most of them are technology-dependent and vendor-dependent frameworks. In an attempt to tackle this problem a technology-vendor-independent database migration is presented. It is achieved by adapting and revising several migration methodologies. To realize the framework, dummy MySQL database and a web-based data migration tool was used to migrate data to Google public cloud. It emerges that the framework is worth pursuing, because ensures most critical aspects of cloud migration are put into consideration. The framework will be of significant contribution to cloud data migration maturity and standardization and will help educational establishments in migrating their database to cloud because all security aspects are put into consideration. The tool used did not support the last two step of the proposed framework therefore we propose further work on designing a tool that supports the framework.

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