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Adaptive Load Balancing for Industrial Edge Computing Systems: An AxTD3-Deep Reinforcement Learning Approach

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Year: 2025
Type: article
Source: IEEE Transactions on Network Science and Engineering
DOI: 10.1109/tnse.2025.3600924
Authors: Fenghui Zhang, Yuhang Jiang, Xuecai Bao, Xiancun Zhou, Yu Zong, Xiaohu Liang, Kun Yang
Institutions: West Anhui University, Jiangxi University of Water Resources and Electric Power, Nanchang Institute of Technology, Lu'an Vocational Technical College, PLA Army Engineering University, University of Essex
Language: English

Topic: IoT and Edge/Fog Computing
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, Natural Science Foundation of Anhui Province
Awards: G1483092537, G7888387042
OpenAlex ID: W4413360058
FWCI:
Cites: 58
Cited by:
Related to: 10
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