Proposal to Improve the Management System of Storage in a Virtual Learning Environment

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dc.contributor.authorYaneth Moreno
dc.contributor.authorGustavo Mejía
dc.contributor.authorFrancisco Hidrobo
dc.contributor.authorGilberto Díaz
dc.contributor.authorJathinson Meneses
dc.contributor.authorJathinson Meneses
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T18:52:51Z
dc.date.available2026-03-22T18:52:51Z
dc.date.issued2021
dc.description.abstractThis 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.
dc.identifier.doi10.53766/cei/2021.43.02.09
dc.identifier.urihttps://doi.org/10.53766/cei/2021.43.02.09
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/72745
dc.language.isoen
dc.sourceUniversidad de Los Andes
dc.subjectComputer science
dc.subjectScalability
dc.subjectBig data
dc.subjectComputer data storage
dc.subjectDeep learning
dc.subjectStorage management
dc.subjectFile system
dc.subjectVirtual learning environment
dc.subjectData management
dc.subjectDatabase
dc.titleProposal to Improve the Management System of Storage in a Virtual Learning Environment
dc.typearticle

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