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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2024-02-01
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Series: | Frontiers in Big Data |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fdata.2024.1358486/full |