Energy-aware load balancing in cloud environments using graph neural networks and grey wolf optimization

Abstract Cloud computing infrastructures must constantly maintain a balance between resource utilization and energy consumption to work effective under dynamic workloads. The training expense and generalizability of machine learning-based load balancing algorithms are both considerable, while existi...

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Autors principals:	F. Niyasudeen, M. Mohan
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2026-05-01
Col·lecció:	Scientific Reports
Matèries:	Cloud computing Load balancing Graph neural networks (GNN) Grey wolf optimization (GWO) Energy-aware scheduling
Accés en línia:	https://doi.org/10.1038/s41598-026-51660-2
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