A refined Greylag Goose optimization method for effective IoT service allocation in edge computing systems
Abstract The growth of the Internet of Things (IoT) has intensified the need for efficient service placement in edge computing environments. This problem remains challenging due to dynamic workloads and heterogeneous resources. Existing swarm intelligence algorithms, such as QPSO-SP and WOA-FSP, oft...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-00796-8 |
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