DEEP: A vertical-oriented intelligent and automated platform for the edge and fog

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Show simple item record Magalhaes Guimaraes, Carlos Eduardo Groshev, Milan Cominardi, Luca Zabala Orive, Aitor Contreras Murillo, Luis Miguel Talat, Samer T. Zhang, Chao Hazra, Saptarshi Mourad, Alain Oliva Delgado, Antonio de la 2022-01-19T12:27:13Z 2022-01-19T12:27:13Z 2021-06
dc.identifier.bibliographicCitation Guimaraes, C., Groshev, M., Cominardi, L., Zabala, A., Contreras, L. M., Talat, S. T., Zhang, C., Hazra, S., Mourad, A. & de la Oliva, A. (2021). DEEP: A Vertical-Oriented Intelligent and Automated Platform for the Edge and Fog. IEEE Communications Magazine, 59(6), 66–72.
dc.identifier.issn 0163-6804
dc.description.abstract The fifth generation (5G) of mobile communications introduces improvements on many fronts when compared to its previous generations. Besides the performance enhancements and new advances in radio technologies, it also integrates other technological domains, such as cloud-to-things continuum and artificial intelligence. In this work, the 5G-DIVE Elastic Edge Platform (DEEP) is proposed as the linking piece for the integration of these technological domains, making available an intelligent edge and fog 5G end-to-end solution. This solution brings numerous benefits to vertical industries by enabling streamlined, abstracted, and automated management of their vertical services, thus contributing to the introduction of novel services, cost savings, and improved time to market. Preliminary validation of the proposed platform is performed through a proof of concept, along with a qualitative analysis of its benefits for Industry 4.0 and autonomous drone scouting vertical industries.
dc.description.sponsorship This work has been (partially) funded by the H2020 EU/TW joint action 5G-DIVE (Grant #859881). We want to thank Javier Sacido, Matteo Pergolesi, Olivier Hécart, and Julien Enoch for their support in the proof-of-concept integration.
dc.format.extent 7
dc.language.iso eng
dc.publisher IEEE
dc.rights © 2021, IEEE.
dc.subject.other Edge computing
dc.subject.other 5G mobile communication
dc.subject.other Time to market
dc.subject.other Artificial intelligence
dc.subject.other Drones
dc.title DEEP: A vertical-oriented intelligent and automated platform for the edge and fog
dc.type article
dc.subject.eciencia Telecomunicaciones
dc.rights.accessRights openAccess
dc.relation.projectID info:eu-repo/grantAgreement/EC/GA-859881
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 66
dc.identifier.publicationissue 6
dc.identifier.publicationlastpage 72
dc.identifier.publicationtitle IEEE Communications Magazine
dc.identifier.publicationvolume 59
dc.identifier.uxxi AR/0000028582
dc.contributor.funder European Commission
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