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Cloud migration research: a systematic review
Date
2013
Abstract
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. This paper aims to identify, taxonomically classify and systematically compare existing research on cloud migration. 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. 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. 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
Supervisor
Description
peer-reviewed
Publisher
IEEE Computer Society
Citation
IEEE Transactions on Cloud Computing;PP. 99
Files
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Jamshid_cloud.pdf
Adobe PDF, 1.44 MB
ULRR Identifiers
Funding code
Funding Information
Enterprise Ireland (EI), Science Foundation Ireland (SFI)