DEEP: A Vertical-Oriented Intelligent and Automated Platform for the Edge and Fog

Carlos Guimaraes, Milan Groshev, Luca Cominardi, Aitor Zabala, Luis M. Contreras, Samer T. Talat, Chao Zhang, Saptarshi Hazra, Alain Mourad, Antonio De La Oliva

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskriftPeer review

Sammanfattning

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.

Originalspråkengelska
Artikelnummer9475161
Sidor (från-till)66-72
Antal sidor7
TidskriftIEEE Communications Magazine
Volym59
Nummer6
DOI
StatusPublished - 2021 juni 1

Ämnesklassifikation (UKÄ)

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