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Can Data Integration Quality be Enhanced on Multi-cloud using SLA?

Daniel Carvalho 1 Placido Souza Neto Genoveva Vargas-Solar 2 Nadia Bennani 3 Chirine Ghedira 4, 1
3 DRIM - Distribution, Recherche d'Information et Mobilité
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
4 SOC - Service Oriented Computing
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
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.
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https://hal.archives-ouvertes.fr/hal-01198495
Contributor : Nadia Bennani <>
Submitted on : Sunday, September 13, 2015 - 4:53:47 PM
Last modification on : Monday, April 20, 2020 - 10:44:05 AM

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  • HAL Id : hal-01198495, version 1

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Daniel Carvalho, Placido Souza Neto, Genoveva Vargas-Solar, Nadia Bennani, Chirine Ghedira. Can Data Integration Quality be Enhanced on Multi-cloud using SLA?. DEXA 2015, Sep 2015, Valencia, Spain. pp.145-152. ⟨hal-01198495⟩

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