Improve the management system of storage in a virtual learning environment

被引：0

作者：

Moreno, Yaneth ^{[1
]}

Valera, Junior ^{[2
]}

Mejia, Gustavo ^{[2
]}

Hidrobo, Francisco ^{[3
]}

Diaz, Gilberto ^{[4
]}

Meneses, Jathinson ^{[4
]}

机构：

[1] Univ Los Andes, Fac Ingn, CEMISID, Merida, Venezuela

[2] Univ Los Andes, Fac Ingn, Dept Comp, Merida, Venezuela

[3] Univ Los Andes, Fac Ciencias, SUMA, Merida, Venezuela

[4] Univ Ind Santander, Fac Ingn, Bucaramanga, Colombia

来源：

CIENCIA E INGENIERIA | 2022年 / 43卷 / 02期

关键词：

VLE; Big Data; Machine Learning; Deep Learning;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This article introduces a theoretical model of a storage management system for big data-based virtual learning environments. The system uses artificial intelligence technologies such as machine learning and deep learning to explore strategies for optimizing how stored data is processed. To this end, the storage management requirements currently presented by these platforms, as well as big data techniques and tools, and their applications on those platforms were investigated. This model is designed to be distributed, scalable, fast, and fault tolerant. In addition, it is expected to work with any web application that needs to improve file downloads.

引用

页码：205 / 212

页数：8

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