Dynamic Edge Loading Balancing with Edge Node Activity Prediction and Accelerating the Model Convergence

Dynamic Edge Loading Balancing with Edge Node Activity Prediction and Accelerating the Model Convergence

In mobile edge computing networks, achieving effective load balancing across edge server nodes is essential for minimizing task processing latency. However, the lack of a priori knowledge regarding the current load state of edge nodes for user devices presents a significant challenge in multi-user,...

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Bibliographic Details
Main Authors: Wen Chen, Sibin Liu, Yuxiao Yang, Wenjing Hu, Jinming Yu
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Sensors
Subjects:
deep reinforcement learning
load balancing
mobile edge computing
resource allocation
task offloading
Online Access:https://www.mdpi.com/1424-8220/25/5/1491
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