Pattern‐based multi‐cloud architecture migration. (3rd October 2016)

• Record Type: Journal Article
• Authors: Jamshidi, Pooyan; Pahl, Claus; Mendonça, Nabor C.
• Is Part Of: Software, practice & experience. Volume 47:Number 9(2017)
• Page Start: 1159
• Page End: 1184
• Publication Date: 2016-10-03
• Subjects: cloud architecture -- microservice architecture -- cloud migration -- migration pattern -- multi‐cloud -- situational method engineering -- variability model; Computer software -- Periodicals; Computer programming -- Periodicals; Computer programs -- Periodicals; 005.3
• DOI: 10.1002/spe.2442
• Languages: English
• ISSNs: 0038-0644

Abstract

Summary: Many organizations migrate on‐premise software applications to the cloud. However, current coarse‐grained cloud migration solutions have made such migrations a non transparent task, an endeavor based on trial‐and‐error. This paper presents Variability‐based, Pattern‐driven Architecture Migration ( V ‐ P A M ), a migration method based on (i) a catalogue of fine‐grained service‐based cloud architecture migration patterns that target multi‐cloud, (ii) a situational migration process framework to guide pattern selection and composition, and (iii) a variability model to structure system migration into a coherent framework. The proposed migration patterns are based on empirical evidence from several migration projects, best practice for cloud architectures and a systematic literature review of existing research. Variability‐based, Pattern‐driven Architecture Migration allows an organization to (i) select appropriate migration patterns, (ii) compose them to define a migration plan, and (iii) extend them based on the identification of new patterns in new contexts. The patterns are at the core of our solution, embedded into a process model, with their selection governed by a variability model. Copyright © 2016 John Wiley & Sons, Ltd.