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Rhone: a quality-based query rewriting algorithm for data integration.

Abstract : Nowadays, data provision is mostly done by data services. Data integration can be seen as composition of data services and data processing services that can deal with to integrate data collections. With the advent of cloud, producing service compositions is computationally costly. Furthermore, executing them can require a considerable amount of memory, storage and computing resources that can be provided by clouds. Our research focuses on how to enhance the results on the in- crease of cost on data integration in the new context of cloud. To do so, we present in this paper our original data integration approach which takes into account user's integration requirements while producing and delivering the results. The service selection and service composition are guided by the service level agreement - SLA exported by di erent ser- vices (from one or more clouds) and used by our matching algorithm (called Rhone) that addresses the query rewriting for data integration presented here as proof of concept.
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https://hal.archives-ouvertes.fr/hal-01331253
Contributor : Nadia Bennani <>
Submitted on : Monday, June 13, 2016 - 4:31:23 PM
Last modification on : Monday, April 20, 2020 - 10:44:05 AM

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  • HAL Id : hal-01331253, version 1

Citation

Daniel Carvalho, Plácido A. Souza Di Neto, Chirine Ghedira, Nadia Bennani, Genoveva Vargas-Solar. Rhone: a quality-based query rewriting algorithm for data integration.. East-European Conference on Advances in Databases and Information Systems, Aug 2016, Prague, Czech Republic. pp.80-87. ⟨hal-01331253⟩

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