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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 5, 2016.
Abstract: Along with the significant advantages of cloud computing paradigm, the number of enterprises, which expect to move a legacy system towards a cloud, is steadily increasing. Unfortunately, this move is not straightforward. There are many challenges to take up. The applications are often written with the outdated technologies. While some enterprises redevelop applications with a specific Cloud provider in mind, others try to move the legacy systems, either because the organization wants to keep the past investments, or because the legacy systems hold important data. Migrating the legacy systems to the Cloud introduces technical and business challenges. This paper aims to study deeply and to compare existing Cloud migration methods, based on Model Driven Engineering (MDE) approach to highlight the strengths and weaknesses of each one. Finally, we have proposed a Cloud legacy system Migration Method relied on Architecture Driven Modernization (ADM), and explained its working process.
Khadija SABIRI, Faouzia BENABBOU, Mustapha HAIN, Hicham MOUTACHAOUIK and Khalid AKODADI, “A Survey of Cloud Migration Methods: A Comparison and Proposition” International Journal of Advanced Computer Science and Applications(IJACSA), 7(5), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070579
@article{SABIRI2016,
title = {A Survey of Cloud Migration Methods: A Comparison and Proposition},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070579},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070579},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {5},
author = {Khadija SABIRI and Faouzia BENABBOU and Mustapha HAIN and Hicham MOUTACHAOUIK and Khalid AKODADI}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.