Deep Reinforcement Learning Based DNN Model Partition in Edge Computing-enabled Metro Optical Network

2021 ASIA COMMUNICATIONS AND PHOTONICS CONFERENCE (ACP)(2021)

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摘要
A deep reinforcement learning based DNN model partition and deployment algorithm is proposed between edge nodes and cloud in metro optical network. Simulation results show that the algorithm can deploy more DNN tasks than heuristics.
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关键词
edge computing-enabled metro optical network,deep reinforcement learning,DNN model partition,deployment algorithm
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