Abstract
Research around cloud computing has largely been dedicated to addressing technical aspects associated with utilizing cloud services, surveying critical success factors for the cloud adoption, and opinions about its impact on IT functions. Nevertheless, the aspect of process models for the cloud migration has been slow in pace. Several methodologies have been proposed by both academia and industry for moving legacy applications to the cloud. This paper presents a criteria-based appraisal of such existing methodologies. The results of the analysis highlight the strengths and weaknesses of these methodologies and can be used by cloud service consumers for comparing and selecting the most appropriate ones that fit specific migration scenarios. The paper also suggests research opportunities to improve the status quo.
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Fahmideh, M., Daneshgar, F., Rabhi, F. (2018). Cloud Migration Methodologies: Preliminary Findings. In: Lazovik, A., Schulte, S. (eds) Advances in Service-Oriented and Cloud Computing. ESOCC 2016. Communications in Computer and Information Science, vol 707. Springer, Cham. https://doi.org/10.1007/978-3-319-72125-5_9
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DOI: https://doi.org/10.1007/978-3-319-72125-5_9
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