Citation:
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.
xmlui.dri2xhtml.METS-1.0.item-contributor-funder:
European Commission
Sponsor:
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.
Project:
info:eu-repo/grantAgreement/EC/GA-859881
Keywords:
Edge computing
,
5G mobile communication
,
Time to market
,
Artificial intelligence
,
Drones
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, suThe 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.[+][-]