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Issue No.02 - July-December (2013 vol.1)
pp: 142-157
Pooyan Jamshidi , Dublin City University, Dublin
Aakash Ahmad , Dublin City University, Dublin
Claus Pahl , Dublin City University, Dublin
Background--By leveraging cloud services, organizations can deploy their software systems over a pool of resources. However, organizations heavily depend on their business-critical systems, which have been developed over long periods. These legacy applications are usually deployed on-premise. In recent years, research in cloud migration has been carried out. However, there is no secondary study to consolidate this research. Objective--This paper aims to identify, taxonomically classify, and systematically compare existing research on cloud migration. Method--We conducted a systematic literature review (SLR) of 23 selected studies, published from 2010 to 2013. We classified and compared the selected studies based on a characterization framework that we also introduce in this paper. Results--The research synthesis results in a knowledge base of current solutions for legacy-to-cloud migration. This review also identifies research gaps and directions for future research. Conclusion--This review reveals that cloud migration research is still in early stages of maturity, but is advancing. It identifies the needs for a migration framework to help improving the maturity level and consequently trust into cloud migration. This review shows a lack of tool support to automate migration tasks. This study also identifies needs for architectural adaptation and self-adaptive cloud-enabled systems.
Systematics, Service-oriented architecture, Semiconductor optical amplifiers, Research initiatives, Cloud computing,systematic literature review, Cloud computing, cloud migration, legacy-to-cloud migration
Pooyan Jamshidi, Aakash Ahmad, Claus Pahl, "Cloud Migration Research: A Systematic Review", IEEE Transactions on Cloud Computing, vol.1, no. 2, pp. 142-157, July-December 2013, doi:10.1109/TCC.2013.10
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