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Optimizing multi-objective task scheduling in fog computing with GA-PSO algorithm for big data application

As the volume and velocity of Big Data continue to grow, traditional cloud computing approaches struggle to meet the demands of real-time processing and low latency. Fog computing, with its distributed network of edge devices, emerges as a compelling solution. However, efficient task scheduling in f...

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Principais autores: Muhammad Saad, Rabia Noor Enam, Rehan Qureshi
Formato: Artigo
Idioma:Inglês
Publicado: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Big Data
Assuntos:
fog computing
task scheduling
genetic algorithm
particle swarm optimization
hybrid algorithm
hybrid GA-PSO
Acceso en liña:https://www.frontiersin.org/articles/10.3389/fdata.2024.1358486/full
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