Deep reinforcement learning-based resource scheduling for energy optimization and load balancing in SDN-driven edge computing-Reference-Cited by-同舟云学术

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Deep reinforcement learning-based resource scheduling for energy optimization and load balancing in SDN-driven edge computing

Published:2024-10 Issue: Volume:226-227 Page:107925
ISSN:0140-3664
Container-title:Computer Communications
language:en
Short-container-title:Computer Communications

Author:

Zhou Xu,Yang Jing^ORCID,Li Yijun,Li Shaobo,Su Zhidong

Publisher

Elsevier BV

Reference55 articles.

1. A survey on mobility of edge computing networks in IoT: State-of-the-art, architectures, and challenges;Shirin Abkenar;IEEE Commun. Surv. Tutor.,2022

2. Edge computing;Shi;Proc. IEEE,2019

3. Communicating while computing: Distributed mobile cloud computing over 5G heterogeneous networks;Barbarossa;IEEE Signal Process. Mag.,2014

4. Trends in data centre energy consumption under the European code of conduct for data centre energy efficiency;Avgerinou;Energies,2017

5. A survey on mobile edge computing: The communication perspective;Y;IEEE Commun. Surv. Tutor.,2017

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