Cloud Brokerage:A Systematic Survey

Elhabbash, Abdessalam and Samreen, Faiza and Hadley, James and Elkhatib, Yehia (2019) Cloud Brokerage:A Systematic Survey. ACM Computing Surveys, 51 (6). pp. 1-28. ISSN 0360-0300

[img]
Preview
PDF (yehia_BrokerSurvey)
yehia_BrokerSurvey.pdf - Accepted Version
Available under License Creative Commons Attribution-NonCommercial.

Download (1MB)

Abstract

Background: The proliferation of cloud providers and provisioning levels has opened a space for cloud brokerage services. Brokers intermediate between cloud customers and providers to assist the customer in selecting the most suitable cloud service, helping to manage the dimensionality, heterogeneity, and uncertainty associated with cloud services. Objective: This paper identifies and classifies approaches to realise cloud brokerage. By doing so, this paper presents an understanding of the state of the art and a novel taxonomy to characterise cloud brokers. Method: We conducted a systematic literature survey to compile studies related to cloud brokerage and explore how cloud brokers are engineered. We analysed the studies from multiple perspectives, such as motivation, functionality, engineering approach, and evaluation methodology. Results: The survey resulted in a knowledge base of current proposals for realising cloud brokers. The survey identified surprising differences between the studies' implementations, with engineering efforts directed at combinations of market-based solutions, middlewares, toolkits, algorithms, semantic frameworks, and conceptual frameworks. Conclusion: Our comprehensive meta-analysis shows that cloud brokerage is still a formative field. There is no doubt that progress has been achieved in the field but considerable challenges remain to be addressed. This survey identifies such challenges and directions for future research.

Item Type:
Journal Article
Journal or Publication Title:
ACM Computing Surveys
Additional Information:
© ACM, 2019. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Computing Surveys, {51, 6, 2019} http://doi.acm.org/10.1145/3274657
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700
Subjects:
ID Code:
127400
Deposited By:
Deposited On:
11 Sep 2018 12:58
Refereed?:
Yes
Published?:
Published
Last Modified:
01 Oct 2020 02:46