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In the era of 5G/6G developments and Multiaccess Edge Computing (MEC) adoption, the telecommunications sector faces the dual challenge of enhancing network capabilities while mitigating environmental impact. This paper introduces an innovative architecture and methodology that leverages programmable data planes to address these concerns. Employing the P4 programming language and QUIC protocol, we propose dynamic load-balancing schemes for switches and servers, aiming to minimize energy consumption and carbon footprint without compromising network performance. Our methodology aims to deliver potential energy savings and enhanced reliability, providing a scalable solution for environmentally sustainable 5G/6G future network deployments.
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Brito et al. (2024) studied this question.
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