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Can Data Integration Quality Be Enhanced on Multi-cloud Using SLA?

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Database and Expert Systems Applications (Globe 2015, DEXA 2015)

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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Notes

  1. 1.

    http://ieeexplore.ieee.org/.

  2. 2.

    http://dl.acm.org/.

  3. 3.

    http://www.sciencedirect.com/.

  4. 4.

    http://citeseerx.ist.psu.edu/.

  5. 5.

    List of references available in: https://github.com/danielboni/DEXA-2015-Can-Data-Integration-Quality-be-Enhanced-on-Multi-cloud-using-SLA.git.

References

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Correspondence to Plácido A. Souza Neto .

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© 2015 Springer International Publishing Switzerland

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Carvalho, D.A.S., Neto, P.A.S., Vargas-Solar, G., Bennani, N., Ghedira, C. (2015). Can Data Integration Quality Be Enhanced on Multi-cloud Using SLA?. In: Chen, Q., Hameurlain, A., Toumani, F., Wagner, R., Decker, H. (eds) Database and Expert Systems Applications. Globe DEXA 2015 2015. Lecture Notes in Computer Science(), vol 9262. Springer, Cham. https://doi.org/10.1007/978-3-319-22852-5_13

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  • DOI: https://doi.org/10.1007/978-3-319-22852-5_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22851-8

  • Online ISBN: 978-3-319-22852-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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