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

Guimaraes, Carlos ; Groshev, Milan ; Cominardi, Luca ; Zabala, Aitor ; Contreras, Luis M. ; Talat, Samer T. ; Zhang, Chao LU orcid ; Hazra, Saptarshi ; Mourad, Alain and De La Oliva, Antonio (2021) In IEEE Communications Magazine 59(6). p.66-72
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... (More)

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.

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author
; ; ; ; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
IEEE Communications Magazine
volume
59
issue
6
article number
9475161
pages
7 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85112217943
ISSN
0163-6804
DOI
10.1109/MCOM.001.2000986
language
English
LU publication?
yes
id
53b97d39-59e9-4eb3-aebc-fb2087041a3a
date added to LUP
2021-09-20 13:58:46
date last changed
2022-04-27 03:58:53
@article{53b97d39-59e9-4eb3-aebc-fb2087041a3a,
  abstract     = {{<p>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. </p>}},
  author       = {{Guimaraes, Carlos and Groshev, Milan and Cominardi, Luca and Zabala, Aitor and Contreras, Luis M. and Talat, Samer T. and Zhang, Chao and Hazra, Saptarshi and Mourad, Alain and De La Oliva, Antonio}},
  issn         = {{0163-6804}},
  language     = {{eng}},
  month        = {{06}},
  number       = {{6}},
  pages        = {{66--72}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Communications Magazine}},
  title        = {{DEEP : A Vertical-Oriented Intelligent and Automated Platform for the Edge and Fog}},
  url          = {{http://dx.doi.org/10.1109/MCOM.001.2000986}},
  doi          = {{10.1109/MCOM.001.2000986}},
  volume       = {{59}},
  year         = {{2021}},
}