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Deep Learning-Based Containerization Resource Management in Vehicular Fog Computing

机译:车辆雾计算中深度学习的集装箱资源管理

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摘要

A containerization resource management scheme based on deep learning was introduced into the vehicular fog computing. Experimental results demonstrate the effectiveness of the scheme by reducing the resource occupancy and decreasing the response delay significantly.
机译:基于深度学习的集装箱资源管理方案被引入车辆雾计算。实验结果证明了该方案通过减少资源占用并显着降低响应延迟的有效性。

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