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Enabling High Performance Fog Computing through fog-2-fog Coordination Model

Al-Khafajiy, M, Baker, T, Waraich, A, Alfandi, O and Hussien, A (2020) Enabling High Performance Fog Computing through fog-2-fog Coordination Model. In: 2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA) . (16th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA 2019), 03 November 2019 - 07 November 2019, Abu Dhabi, UAE).

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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. Index Terms—Internet of Things, Fog Computing, Resource management, High performance computing, Fog-to-Fog

Item Type: Conference or Workshop Item (Paper)
Additional Information: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Computer Science & Mathematics
Publisher: IEEE
Date Deposited: 16 Aug 2019 07:41
Last Modified: 16 May 2024 11:29
DOI or ID number: 10.1109/AICCSA47632.2019.9035353
URI: https://researchonline.ljmu.ac.uk/id/eprint/11212
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