Multi-objective optimization for integrated task scheduling and load balancing in fog computing for IoT applications
Fog Computing acts as a bridge between cloud infrastructure and the Internet of Things (IoT) devices, including mobile devices, sensors, and smart technologies. By locating itself closer to edge devices, fog computing enhances data processing. This proximity reduces latency, energy consumption, and...
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| Format: | Thesis |
| Language: | en en |
| Published: |
2025
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/29433/1/Multi-objective%20optimization%20for%20integrated%20task%20scheduling%20and%20load%20balancing%20in%20fog%20computing%20for%20IoT%20applications%20%2824%20pages%29.pdf http://eprints.utem.edu.my/id/eprint/29433/2/Multi-objective%20optimization%20for%20integrated%20task%20scheduling%20and%20load%20balancing%20in%20fog%20computing%20for%20IoT%20applications.pdf http://eprints.utem.edu.my/id/eprint/29433/ |
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http://eprints.utem.edu.my/id/eprint/29433/1/Multi-objective%20optimization%20for%20integrated%20task%20scheduling%20and%20load%20balancing%20in%20fog%20computing%20for%20IoT%20applications%20%2824%20pages%29.pdfhttp://eprints.utem.edu.my/id/eprint/29433/2/Multi-objective%20optimization%20for%20integrated%20task%20scheduling%20and%20load%20balancing%20in%20fog%20computing%20for%20IoT%20applications.pdf
http://eprints.utem.edu.my/id/eprint/29433/
