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Designing an efficient clustering strategy for combined Fog-to-Cloud scenarios

Author
Asensio, A.; Masip, X.; Durán, R.; Miguel, I. de; Ren, G.; Daijavad, S.; Jukan, A.
Type of activity
Journal article
Journal
Future generation computer systems
Date of publication
2020-08-01
Volume
109
First page
392
Last page
406
DOI
10.1016/j.future.2020.03.056
Repository
http://hdl.handle.net/2117/192125 Open in new window
URL
https://www.sciencedirect.com/science/article/abs/pii/S0167739X19329541 Open in new window
Abstract
The evolution of the Internet of Things (IoT) is imposing many distinct challenges, particularly to guarantee both wide and global systems communication, and to ensure an optimal execution of services. To that end, IoT services must make the most out of both cloud and fog computing (turning into combined fog–cloud scenarios), which indeed requires novel and efficient resource management procedures to handle such diversity of resources in a coordinated way. Most of the related works that can be...
Citation
Asensio, A. [et al.]. Designing an efficient clustering strategy for combined Fog-to-Cloud scenarios. "Future generation computer systems", 1 Agost 2020, vol. 109, p. 392-406.
Keywords
Clustering, Fog-to-Cloud management, Fog-to-Cloud systems, MIxed Integer Linear Programming, Machine learning
Group of research
CCABA - Advanced Broadband Communications Center
CRAAX - Advanced Network Architectures Lab
GCO - Optical Communications Group

Participants

  • Asensio Garcia, Adrian  (author)
  • Masip Bruin, Javier  (author)
  • Durán Barroso, Ramón J.  (author)
  • Miguel Jiménez, Ignacio de  (author)
  • Ren, Guang-Jie  (author)
  • Daijavad, Shahrokh  (author)
  • Jukan, Admela  (author)

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