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Published in:
2015 | OriginalPaper | Chapter
Can Data Integration Quality Be Enhanced on Multi-cloud Using SLA?
Authors : Daniel A. S. Carvalho, Plácido A. Souza Neto, Genoveva Vargas-Solar, Nadia Bennani, Chirine Ghedira
Published in: Database and Expert Systems Applications
Publisher: Springer International Publishing
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Abstract
This paper identifies trends and open issues regarding the use of SLA in data integration solutions on multi-cloud environments. Therefore it presents results of a Systematic Mapping [3] that analyzes the way SLA, data integration and multi-cloud environments are correlated in existing works. The main result is a classification scheme consisting of facets and dimensions namely (i) data integration environment (cloud; data warehouse; federated database; multi-cloud); (ii) data integration description (knowledge; metadata; schema); and (iii) data quality (confidentiality; privacy; security; SLA; data protection; data provenance). The proposed classification scheme is used to organize a collection of representative papers and discuss the numerical analysis about research trends in the domain.