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Research on Improved Moving Edge Computing Task Unloading Algorithm Based on Deep Reinforcement Learning
更新时间：2024-09-25
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    • Research on Improved Moving Edge Computing Task Unloading Algorithm Based on Deep Reinforcement Learning

    • “在大数据时代，移动终端用户激增，万物互联带来便利，但也引发数据地理位置分散问题，影响服务质量。研究者构建移动边缘计算平台任务卸载模型，采用深度强化学习算法优化策略，实验显示改进算法在能耗、时延、网络使用量方面表现更优。”
    • Software Guide   Vol. 23, Issue 9, Pages: 150-156(2024)

    • DOI：10.11907/rjdk.232294    

      CLC： TP393

    • Published：16 September 2024，

      Received：21 December 2023，

    移动端阅览

  • JIANG Shouhua,SHU Hui.Research on Improved Moving Edge Computing Task Unloading Algorithm Based on Deep Reinforcement Learning[J].Software Guide,2024,23(09):150-156. DOI： 10.11907/rjdk.232294.

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