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Hybrid clouds for data-Intensive, 5G-Enabled IoT applications: an overview, key issues and relevant architecture

Author
Trakadas, P.; Nomikos, N.; Michailidis, E.; Masip, X.
Type of activity
Journal article
Journal
Sensors
Date of publication
2019-08-17
Volume
19
Number
16
First page
1
Last page
19
DOI
10.3390/s19163591
Repository
http://hdl.handle.net/2117/168633 Open in new window
URL
https://www.mdpi.com/1424-8220/19/16/3591 Open in new window
Abstract
Hybrid cloud multi-access edge computing (MEC) deployments have been proposed as efficient means to support Internet of Things (IoT) applications, relying on a plethora of nodes and data. In this paper, an overview on the area of hybrid clouds considering relevant research areas is given, providing technologies and mechanisms for the formation of such MEC deployments, as well as emphasizing several key issues that should be tackled by novel approaches, especially under the 5G paradigm. Furthermo...
Citation
Trakadas, P. [et al.]. Hybrid clouds for data-Intensive, 5G-Enabled IoT applications: an overview, key issues and relevant architecture. "Sensors", 17 Agost 2019, vol. 19, núm. 16, p. 1-19.
Keywords
Cloud native solutions, Cloud-to-fog infrastructure, Data pipelines, Hybrid clouds, IoT applications, PaaS
Group of research
CRAAX - Advanced Network Architectures Lab

Participants

  • Trakadas, Panagiotis  (author)
  • Nomikos, Nikolaos  (author)
  • Michailidis, Emmanouel T.  (author)
  • Masip Bruin, Javier  (author)

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