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Enabling high performance fog computing through fog-2-fog coordination model
Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA
  • Mohammed Al-Khafajiy, Liverpool John Moores University
  • Thar Baker, Liverpool John Moores University
  • Atif Waraich, Liverpool John Moores University
  • Omar Alfandi, Zayed University
  • Aseel Hussien, Liverpool John Moores University
Document Type
Conference Proceeding
Publication Date
11-1-2019
Abstract

© 2019 IEEE. Fog computing is a promising network paradigm in the IoT area as it has a great potential to reduce processing time for time-sensitive IoT applications. However, fog can get congested very easily due to fog resources limitations in term of capacity and computational power. In this paper, we tackle the issue of fog congestion through a request offloading algorithm. The result shows that the performance of fogs nodes can be increased be sharing fog's overload over several fog nodes. The proposed offloading algorithm could have the potential to achieve a sustainable network paradigm and highlights the significant benefits of fog offloading for the future networking paradigm.

ISBN
9781728150529
Publisher
IEEE Computer Society
Disciplines
Keywords
  • Fog Computing,
  • Fog-to-Fog,
  • High performance computing,
  • Internet of Things,
  • Resource management
Scopus ID
85082662782
Indexed in Scopus
Yes
Open Access
No
https://doi.org/10.1109/AICCSA47632.2019.9035353
Citation Information
Mohammed Al-Khafajiy, Thar Baker, Atif Waraich, Omar Alfandi, et al.. "Enabling high performance fog computing through fog-2-fog coordination model" Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA Vol. 2019-November (2019) - 6 ISSN: <a href="https://v2.sherpa.ac.uk/id/publication/issn/2161-5322" target="_blank">2161-5322</a>
Available at: http://works.bepress.com/omar-alfandi/69/