International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

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 Volume 11, Issue 2 (February 2024), Pages: 195-205

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 Original Research Paper

Design of federated learning-based resource management algorithm in fog computing for zero-touch network

 Author(s): 

 Urooj Yousuf Khan *, Tariq Rahim Soomro

 Affiliation(s):

 College of Computer Science and Information Systems (CCSIS), Institute of Business Management, Karachi, Pakistan

 Full text

  Full Text - PDF

 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0002-9514-0078

 Digital Object Identifier (DOI)

 https://doi.org/10.21833/ijaas.2024.02.020

 Abstract

The concept of zero-touch networking involves creating networks that are fully autonomous and require minimal human intervention. This approach is increasingly relevant due to the rapid growth of current cloud architectures, which are beginning to reach their limits due to continuous expansion demands from users and within the network core itself. In response, Fog computing, acting as a smart, localized data center closer to network nodes, emerges as a practical solution to the challenges of expansion and upgrading in existing architectures. Fog computing complements cloud technology. However, the realization of zero-touch networks is still in its early stages, and numerous challenges hinder its implementation. One significant challenge is the NP-hard problem related to resource management. This paper introduces an optimal resource management algorithm based on Federated Learning. The effectiveness of this algorithm is evaluated using the iFogSim simulator within the existing cloud-fog architecture. The results demonstrate that the proposed architecture outperforms the current infrastructure in several key aspects of resource management, including system latency, number of resources processed, energy consumption, and bandwidth utilization.

 © 2024 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords

 Zero-touch network, Fog computing, Resource management, NP-hard problem

 Article history

 Received 2 October 2023, Received in revised form 18 January 2024, Accepted 1 February 2024

 Acknowledgment 

No Acknowledgment.

 Compliance with ethical standards

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

 Citation:

 Khan UY and Soomro TR (2024). Design of federated learning-based resource management algorithm in fog computing for zero-touch network. International Journal of Advanced and Applied Sciences, 11(2): 195-205

 Permanent Link to this page

 Figures

 Fig. 1 Fig. 2 Fig. 3 Fig. 4 Fig. 5 Fig. 6 Fig. 7 Fig. 8

 Tables

 Table 1 Table 2 Table 3

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