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Updated: May 21, 2025

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动态边缘负载平衡与边缘节点活动预测和加速模型融合

Wen Chen1, Sibin Liu1, Yuxiao Yang1

  • 1School of Information Science and Technology, Donghua University, Shanghai 201620, China.

Sensors (Basel, Switzerland)
|March 17, 2025
PubMed
概括

本研究介绍了用于移动边缘计算负载平衡的深度强化学习方法. 该方法通过优化任务卸载和资源分配,有效地减少任务丢失和系统成本.

关键词:
深度强化学习的学习.负载平衡系统的负载平衡移动边缘计算移动边缘计算资源分配的资源分配.任务卸载 任务卸载

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Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
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