机译:基于深度学习的车载网络流量控制端到端负载均衡器
Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China;
Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China;
Univ Waterloo, Elect & Comp Engn Dept, Waterloo, ON N2L 3G1, Canada;
Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China;
Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China;
Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China;
Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China;
Convolutional neural network (CNN); deep learning; end-to-end; load balance; network traffic control;
机译:车辆网络中城市交通灯控制多功能深度增强学习
机译:SeDaTiVe:车载网络物理系统中用于网络流量控制的SDN支持的深度学习架构
机译:基于深度学习的端到端加密网络流量分类方法
机译:基于深度强化学习的负载均衡策略,用于平衡数据中心环境中的网络流量
机译:基于深度学习的智能网络流量控制包传输策略研究
机译:考虑负载生成平衡的电力系统故意孤岛的端到端深图卷积神经网络方法
机译:镇静剂:支持SDN的网络流量控制在车辆网络系统中的深度学习架构