Journal Press India^®

Author Details ( * ) denotes Corresponding author

By leveraging cloud services, organizations can arrange their software systems over a pool of resources. However, organizations heavily depend on their business-critical systems, which have been developed more than long period. These inheritance applications are usually deployed on-premise. In recent years, research in cloud migration has been carried out. However, there is no derivative study to consolidate this research. This paper aims to identify, taxonomically catalog and methodically compare existing research on cloud migration. By analyzing the research achievements, we split the presented migration methods into three strategies according to the cloud service models integrally. Unusual processes need to be painstaking for different migration strategies, and different tasks will be implicated accordingly. We conducted a systematic literature review (SLR) of 23 selected studies, published from 2010 to 2013. We classify and compare the selected studies based on a characterization framework that we also introduce in this paper. The research blend results in a facts base of current solutions. This review also identifies research gaps and commands for future research. This review reveals that cloud migration research is still in premature stages, but is advancing. It identifies the requirements for a migration framework to help improving the maturity level and consequently trust into cloud migration. This review shows a need of tool support to computerize migration tasks. This study also identifies needs for architectural version and self-adaptive cloud-enabled systems.

Keywords

Cloud computing; cloud migration; legacy system; migration strategies; systematic literature review.

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