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Conference Papers Year : 2018

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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Dates and versions

hal-01845031 , version 1 (20-07-2018)

Identifiers

  • HAL Id : hal-01845031 , version 1

Cite

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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