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On Evaluating Commercial Cloud Services: A Systematic Review

Authors :
Li, Zheng
Zhang, He
O'Brien, Liam
Cai, Rainbow
Flint, Shayne
Source :
Journal of Systems and Software, vol. 86, no. 9, pp. 2371-2393 (2013)
Publication Year :
2017

Abstract

Background: Cloud Computing is increasingly booming in industry with many competing providers and services. Accordingly, evaluation of commercial Cloud services is necessary. However, the existing evaluation studies are relatively chaotic. There exists tremendous confusion and gap between practices and theory about Cloud services evaluation. Aim: To facilitate relieving the aforementioned chaos, this work aims to synthesize the existing evaluation implementations to outline the state-of-the-practice and also identify research opportunities in Cloud services evaluation. Method: Based on a conceptual evaluation model comprising six steps, the Systematic Literature Review (SLR) method was employed to collect relevant evidence to investigate the Cloud services evaluation step by step. Results: This SLR identified 82 relevant evaluation studies. The overall data collected from these studies essentially represent the current practical landscape of implementing Cloud services evaluation, and in turn can be reused to facilitate future evaluation work. Conclusions: Evaluation of commercial Cloud services has become a world-wide research topic. Some of the findings of this SLR identify several research gaps in the area of Cloud services evaluation (e.g., the Elasticity and Security evaluation of commercial Cloud services could be a long-term challenge), while some other findings suggest the trend of applying commercial Cloud services (e.g., compared with PaaS, IaaS seems more suitable for customers and is particularly important in industry). This SLR study itself also confirms some previous experiences and reveals new Evidence-Based Software Engineering (EBSE) lessons.

Details

Database :
arXiv
Journal :
Journal of Systems and Software, vol. 86, no. 9, pp. 2371-2393 (2013)
Publication Type :
Report
Accession number :
edsarx.1708.01412
Document Type :
Working Paper
Full Text :
https://doi.org/10.1016/j.jss.2013.04.021