Cloud Migration Research: A Systematic Review
By Pooyan Jamshidi, Aakash Ahmad, Claus Pahl. IEEE Transactions on Cloud Computing, 2013
407 citations recorded by the source corpus.
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.
Subfields: Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/36cede08a0747b284128dab53e793f214b672bc4
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Citations in the corpus
- Cloud Container Technologies: A State-of-the-Art Review (2019, methodology): “Review Step Activity plan identify need, specify reseach questions, define protocol conduct select primary studies, extract/synthesise data document document observations, analyse threats, report SLRs and SMSs entail to identify, classify and compare existing evidence on the use of container technol”
- Microservices: A Systematic Mapping Study (2016, neutral): “(Jamshidi et al., 2013a; Jamshidi et al., 2013b) that is outlined in this section.”