Optimizing energy and latency in edge computing through a Boltzmann driven Bayesian framework for adaptive resource scheduling

Abstract This paper presents a new approach based on Boltzmann Distribution and Bayesian Optimization to solve the energy-efficient resource allocation in edge computing. It employs Bayesian Optimization to optimize the parameters iteratively for the minimum energy consumption and latency. Coupled w...

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Autors principals:	Dinesh Sahu, Nidhi, Rajnish Chaturvedi, Shiv Prakash, Tiansheng Yang, Rajkumar Singh Rathore, Idrees Alsolbi
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2025-08-01
Col·lecció:	Scientific Reports
Matèries:	Edge computing Resource scheduling Boltzmann distribution Bayesian framework Energy optimization Latency reduction
Accés en línia:	https://doi.org/10.1038/s41598-025-16317-6
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