SEApr 17, 2020

Cloud Migration Methodologies Preliminary Findings

arXiv:2004.10137v19 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the need for structured process models in cloud migration, providing a comparative evaluation for cloud service consumers, but it is incremental as it reviews and appraises existing methods.

The paper conducted a criteria-based appraisal of existing cloud migration methodologies for legacy applications, highlighting their strengths and weaknesses to aid in selection for specific scenarios.

Research around cloud computing has largely been dedicated to ad-dressing 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 aca-demia and industry for moving legacy applications to the cloud. This paper pre-sents 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. Keywords Cloud Migration; Legacy Applications; Cloud Migration Method-ology, Evaluation Framework

Foundations

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