Cloud Migration Methodologies: Preliminary Findings

Paper


Fahmideh, Mahdi, Daneshgar, Farhad and Rabhi, Fethi. 2018. "Cloud Migration Methodologies: Preliminary Findings ." 5th European Conference on Service-Oriented and Cloud Computing (ESOCC 2016). Vienna, Austria 05 - 07 Sep 2016 Switzerland . Springer. https://doi.org/10.1007/978-3-319-72125-5_9
Paper/Presentation Title

Cloud Migration Methodologies: Preliminary Findings

Presentation TypePaper
AuthorsFahmideh, Mahdi, Daneshgar, Farhad and Rabhi, Fethi
Journal or Proceedings TitleProceedings of the 5th European Conference on Service-Oriented and Cloud Computing (ESOCC 2016)
Journal Citation707, pp. 112-122
Number of Pages11
Year2018
PublisherSpringer
Place of PublicationSwitzerland
ISBN9783319721248
9783319721255
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-319-72125-5_9
Web Address (URL) of Paperhttps://link.springer.com/chapter/10.1007/978-3-319-72125-5_9
Web Address (URL) of Conference Proceedingshttps://link.springer.com/book/10.1007/978-3-319-72125-5
Conference/Event5th European Conference on Service-Oriented and Cloud Computing (ESOCC 2016)
Event Details
5th European Conference on Service-Oriented and Cloud Computing (ESOCC 2016)
Delivery
In person
Event Date
05 to end of 07 Sep 2016
Event Location
Vienna, Austria
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.

KeywordsCloud migration; Legacy applications; Cloud migration methodology; Evaluation framework
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020460905. Information systems development methodologies and practice
Public Notes

The accessible file is the accepted version of the paper. Please refer to the URL for the published version.

SeriesCommunications in Computer and Information Science
Byline AffiliationsUniversity of New South Wales
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https://research.usq.edu.au/item/yy7wx/cloud-migration-methodologies-preliminary-findings

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