ItemArticle

Optimizing resource management using hybrid metaheuristic algorithm for fog layer design in edge computing

Title
Optimizing resource management using hybrid metaheuristic algorithm for fog layer design in edge computing
Creator
Pillai, Sanjaikanth E Vadakkethil Somanathan; Paramasivam, Santhosh; Polimetla, Kiran; Dhanasekaran, Selvaraj; Agrawal, Krishna Kant; Yadav, Satya Prakash; Logeshwaran, Jaganathan; Gatto, Gianluca
Description
The growing complexity of management in fog computing environments necessitates more efficient algorithms capable of optimizing resource allocation, minimizing latency, and maximizing throughput and energy efficiency. Existing techniques, consisting of the Multi-Objective Crow Search Algorithm (MOCSA) and Fuzzy Meta-Heuristics Optimization (FMHO), regularly suffer from suboptimal performance due to constrained exploration abilities and slower convergence fees. To overcome with these demanding situations, this paper proposes a singular Hybrid Metaheuristic Algorithm (HMA) that mixes the strengths of more than one metaheuristic techniques, along with genetic algorithms, simulated annealing, and gray wolf optimization (GA-SA-GWO). The HMA is specifically designed to enhance useful resource control in fog computing by optimizing useful resource allocation, lowering latency, and enhancing usual gadget performance. Experimental results exhibit that the proposed HMA significantly outperforms existing solutions, with 26.98 % improved latency, 90.64 % resource utilization, 96.05 % throughput, 37.06 % reduced energy utilization, and 93.85 % energy utilization. These outcomes spotlight the HMA's potential to successfully manage sources in dynamic and unpredictable fog computing environments, providing a greater scalable and robust solution for actual-time applications. 2025
Source
Systems and Soft Computing;Volume;7;Issue;;Article No.;200323;
Date
01-01-2025
Publisher
Academic Press
Subject
Cloud; Edge computing; Environmental monitoring; High performance; Low power sensor network; Low-latency; Metaheuristic; Optimal resource allocation; Optimization; Reduced power consumption
Coverage
Pillai S.E.V.S., School of Electrical Engineering and Computer Science, University Of North Dakota, Grand Forks, United States; Paramasivam S., Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, 09123, Italy; Polimetla K., Department of Information Technology, Adobe Inc., Austin, TX, United States; Dhanasekaran S., Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Tamil Nadu, Coimbatore, 641202, India; Agrawal K.K., School of Computer Science and Engineering, Galgotias University, Greater Noida, India; Yadav S.P., Department of Computer Science and Engineering, Madan Mohan Malaviya University of Technology, Uttar Pradesh, Gorakhpur, India; Logeshwaran J., Department of Computer Science, Christ University, Karnataka, Bengaluru, 560029, India; Gatto G., Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, 09123, Italy
Rights
All Open Access; Gold Open Access; Green Open Access
Relation
ISSN: 27729419;
Format
online
Language
English
Type
Article

Citation

Pillai, Sanjaikanth E Vadakkethil Somanathan; Paramasivam, Santhosh; Polimetla, Kiran; Dhanasekaran, Selvaraj; Agrawal, Krishna Kant; Yadav, Satya Prakash; Logeshwaran, Jaganathan; Gatto, Gianluca, “Optimizing resource management using hybrid metaheuristic algorithm for fog layer design in edge computing,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/22453.

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