TY - JOUR

T1 - Cloud Migration Research

T2 - A Systematic Review

AU - Jamshidi, Pooyan

AU - Ahmad, Aakash

AU - Pahl, Claus

PY - 2013/12/31

Y1 - 2013/12/31

N2 - 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.

AB - 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.

KW - Cloud computing

KW - cloud migration

KW - legacy-to-cloud migration

KW - systematic literature review

U2 - 10.1109/TCC.2013.10

DO - 10.1109/TCC.2013.10

M3 - Journal article

AN - SCOPUS:84969922962

VL - 1

SP - 142

EP - 157

JO - IEEE Transactions on Cloud Computing

JF - IEEE Transactions on Cloud Computing

SN - 2168-7161

IS - 2

M1 - 6624108

ER -