Enabling high performance fog computing through fog-2-fog coordination model

Mohammed Al-Khafajiy; Thar Baker; Atif Waraich; Omar Alfandi; Aseel Hussien

doi:10.1109/AICCSA47632.2019.9035353

Enabling high performance fog computing through fog-2-fog coordination model

Mohammed Al-Khafajiy, Thar Baker, Atif Waraich, Omar Alfandi, Aseel Hussien

School of Arch, Tech and Eng

Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

Abstract

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.

Original language	English
Title of host publication	16th ACS/IEEE International Conference on Computer Systems and Applications, AICCSA 2019
Publisher	IEEE Computer Society Press
ISBN (Electronic)	9781728150529
DOIs	https://doi.org/10.1109/AICCSA47632.2019.9035353
Publication status	Published - 16 Mar 2020
Event	16th ACS/IEEE International Conference on Computer Systems and Applications, AICCSA 2019 - Abu Dhabi, United Arab Emirates Duration: 3 Nov 2019 → 7 Nov 2019

Publication series

Name	Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA
Volume	2019-November
ISSN (Print)	2161-5322
ISSN (Electronic)	2161-5330

Conference

Conference	16th ACS/IEEE International Conference on Computer Systems and Applications, AICCSA 2019
Country/Territory	United Arab Emirates
City	Abu Dhabi
Period	3/11/19 → 7/11/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

Fog Computing
Fog-to-Fog
High performance computing
Internet of Things
Resource management

Access to Document

10.1109/AICCSA47632.2019.9035353

Cite this

Al-Khafajiy, M., Baker, T., Waraich, A., Alfandi, O., & Hussien, A. (2020). Enabling high performance fog computing through fog-2-fog coordination model. In 16th ACS/IEEE International Conference on Computer Systems and Applications, AICCSA 2019 Article 9035353 (Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA; Vol. 2019-November). IEEE Computer Society Press. https://doi.org/10.1109/AICCSA47632.2019.9035353

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abstract = "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.",

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Al-Khafajiy, M, Baker, T, Waraich, A, Alfandi, O & Hussien, A 2020, Enabling high performance fog computing through fog-2-fog coordination model. in 16th ACS/IEEE International Conference on Computer Systems and Applications, AICCSA 2019., 9035353, Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA, vol. 2019-November, IEEE Computer Society Press, 16th ACS/IEEE International Conference on Computer Systems and Applications, AICCSA 2019, Abu Dhabi, United Arab Emirates, 3/11/19. https://doi.org/10.1109/AICCSA47632.2019.9035353

Enabling high performance fog computing through fog-2-fog coordination model. / Al-Khafajiy, Mohammed; Baker, Thar; Waraich, Atif et al.
16th ACS/IEEE International Conference on Computer Systems and Applications, AICCSA 2019. IEEE Computer Society Press, 2020. 9035353 (Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA; Vol. 2019-November).

Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

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AB - 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.

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KW - Fog-to-Fog

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KW - Internet of Things

KW - Resource management

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Al-Khafajiy M, Baker T, Waraich A, Alfandi O, Hussien A. Enabling high performance fog computing through fog-2-fog coordination model. In 16th ACS/IEEE International Conference on Computer Systems and Applications, AICCSA 2019. IEEE Computer Society Press. 2020. 9035353. (Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA). doi: 10.1109/AICCSA47632.2019.9035353

Enabling high performance fog computing through fog-2-fog coordination model

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Keywords

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