Cloud migration process—A survey, evaluation framework, and open challenges
Article
Gholami, Mahdi Fahmideh, Daneshgar, Farhad, Low, Graham and Beydoun, Ghassan. 2016. "Cloud migration process—A survey, evaluation framework, and open challenges." Journal of Systems and Software. 120, pp. 31-69. https://doi.org/10.1016/j.jss.2016.06.068
| Article Title | Cloud migration process—A survey, evaluation framework, and open challenges |
|---|---|
| ERA Journal ID | 18045 |
| Article Category | Article |
| Authors | Gholami, Mahdi Fahmideh, Daneshgar, Farhad, Low, Graham and Beydoun, Ghassan |
| Journal Title | Journal of Systems and Software |
| Journal Citation | 120, pp. 31-69 |
| Number of Pages | 39 |
| Year | Oct 2016 |
| Place of Publication | United States |
| ISSN | 0164-1212 |
| 1873-1228 | |
| Digital Object Identifier (DOI) | https://doi.org/10.1016/j.jss.2016.06.068 |
| Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S0164121216300966 |
| Abstract | Moving mission-oriented enterprise software applications to cloud environments is a crucial IT task and requires a systematic approach. The foci of this paper is to provide a detailed review of extant cloud migration approaches from the perspective of the process model. To this aim, an evaluation framework is proposed and used to appraise and compare existing approaches for highlighting their features, similarities, and key differences. The survey distills the status quo and makes a rich inventory of important activities, recommendations, techniques, and concerns that are common in a typical cloud migration process in one place. This enables both academia and practitioners in the cloud computing community to get an overarching view of the process of the legacy application migration to the cloud. Furthermore, the survey identifies a number challenges that have not been yet addressed by existing approaches, developing opportunities for further research endeavours. |
| Keywords | Cloud migration; Legacy application; Evaluation framework; Migration methodology; Process model; Cloud computing |
| Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
| Byline Affiliations | University of New South Wales |
| Bangkok University, Thailand | |
| University of Technology Sydney | |
| Library Services |
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