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A Multiagent Approach to Database Migration for Big Data Systems

Author

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  • Mihai Horia Zaharia

    (Department of Computers, “Gheorghe Asachi” Technical University, Bd. Dimitrie Mangeron, nr. 67, 700050 Iaşi, România)

Abstract

Presented in this paper is a possible solution for speeding up the integration of various data in the big data mainstream. The data enrichment and convergence of all possible sources is still at the beginning. As a result, existing techniques must be retooled in order to increase the integration of already existing databases or of the ones specific to Internet of Things in order to use the advantages of the big data to fulfill the final goal of web of data creation. In this paper, semantic web-specific solutions are used to design a system based on intelligent agents. It tries to solve some problems specific to automation of the database migration system with the final goal of creating a common ontology over various data repositories or producers in order to integrate them into systems based on big data architecture.

Suggested Citation

  • Mihai Horia Zaharia, 2017. "A Multiagent Approach to Database Migration for Big Data Systems," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 159-180, July.
    • Handle: RePEc:wsi:nmncxx:v:13:y:2017:i:02:n:s1793005717400051
    DOI: 10.1142/S1793005717400051
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    References listed on IDEAS

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    1. Unknown, 2016. "Energy for Sustainable Development," Conference Proceedings 253270, Guru Arjan Dev Institute of Development Studies (IDSAsr).
    2. Tuballa, Maria Lorena & Abundo, Michael Lochinvar, 2016. "A review of the development of Smart Grid technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 710-725.
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    Cited by:

    1. Zhaohao Sun & Paul P. Wang, 2017. "Big Data, Analytics, and Intelligence: An Editorial Perspective," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 75-81, July.

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