EDGE NETWORK COMPUTING SYSTEM WITH DEEP REINFORCEMENT LEARNING BASED TASK SCHEDULING

    公开(公告)号:US20230153124A1

    公开(公告)日:2023-05-18

    申请号:US17490861

    申请日:2021-09-30

    CPC classification number: G06F9/44594 G06F9/4806 G06F2209/509

    Abstract: An edge network computing system includes: a plurality of terminal devices; a plurality of edge servers connected to the terminal device through an access network; and a plurality of cloud servers connected to the plurality of edge servers through a core network. Each edge server is configured to: receive a plurality of computing tasks originated from one of the plurality of terminal devices; use a deep Q-learning neural network (DQN) with experience replay to select one of the plurality of could servers to offload a portion of the plurality of computing tasks; and send the portion of the plurality of computing tasks to the selected cloud server and forward results of the portion of the plurality of computing tasks received from the selected cloud server to the originating terminal device.

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