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
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