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 em:	Frontiers Media S.A. 2024-02-01
Colecção:	Frontiers in Big Data
Assuntos:	fog computing task scheduling genetic algorithm particle swarm optimization hybrid algorithm hybrid GA-PSO
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fdata.2024.1358486/full
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