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Modeling Strategies for Storing Data in Distributed Heterogeneous NoSQL Databases

Abstract : In this work, we propose HerM (Heterogeneous Distributed Model), a NoSQL data modeling approach which supports the use of multiple heterogeneous NoSQL systems in a distributed environment. We define the conceptual elements necessary for data modeling, and we identify optimized data distribution patterns. We implemented a flexible framework, where we deployed our proposed modeling strategies and that we evaluated comparing our approach against native the NoSQL data distribution methodology provided by the NoSQL databases MongoDB.
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https://hal.inria.fr/hal-01845031
Contributor : Francesca Bugiotti <>
Submitted on : Friday, July 20, 2018 - 8:03:51 AM
Last modification on : Thursday, July 8, 2021 - 3:49:46 AM
Long-term archiving on: : Sunday, October 21, 2018 - 12:33:57 PM

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  • HAL Id : hal-01845031, version 1

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Moditha Hewasinghage, Nacéra Bennacer Seghouani, Francesca Bugiotti. Modeling Strategies for Storing Data in Distributed Heterogeneous NoSQL Databases. The International Conference on Conceptual Modeling (ER) , Oct 2018, Xi’an, China. ⟨hal-01845031⟩

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