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作 者:朱祥 李国勇 许鸥[2] ZHU Xiang;LI Guo-yong;XU Ou(College of Electrical and Power Engineering,Taiyuan University of Technology,Taiyuan 030024,China;School of Information Engineering,Guangdong University of Technology,Guangzhou 510006,China)
机构地区:[1]太原理工大学电气与动力工程学院,太原030024 [2]广东工业大学信息工程学院,广州510006
出 处:《光通信研究》2021年第5期24-30,共7页Study on Optical Communications
基 金:国家重点研发计划资助项目(2019YFB1803803)。
摘 要:根据IEEE 802.3ca新标准中对50 Gbit/s-以太网无源光网络(EPON)上行链路的说明,网络上行链路中需要对多波长进行动态带宽分配。文章采用长短时记忆神经网络对网络流量进行预测,旨在提高带宽分配的效率;同时,考虑到网络中不同类型业务对网络时延和带宽要求的差别,分别对不同优先级的业务采取不同的分配方案。仿真实验表明,基于神经网络预测的方法可以有效降低网络的延迟;对不同业务采取不同分配方案时,高优先级业务的延迟降低,并且随着网络负载的提高,延迟变化幅度较小。文章所提算法满足了高优先级业务的需求,虽然低优先级业务延迟与之前方式相比有所增大,但考虑到低优先级业务对延迟要求并不高,因此对于网络整体服务质量影响不大。According to the description of 50 Gbit/s-Ethernet Passive Optical Network(EPON)in IEEE 802.3ca new standard,multi-wavelength dynamic bandwidth allocation is needed in network uplink.In this paper,long short-term memory neural network is used to predict the network traffic in order to improve the efficiency of bandwidth allocation.At the same time,considering the different requirements of network delay and bandwidth for different types of services in the network,different allocation schemes are adopted for different priority services.The simulation results show that the neural network prediction method can effectively reduce the delay of the network.When different allocation schemes are adopted for different services,the latency of high-priority services decreases,and the latency varies with the increase of network load.The algorithm proposed in this paper meets the requirements of high-priority service.Although the latency of low-priority service is increased compared with the previous method,it has little impact on the overall service quality of the network considering that low-priority service does not have high latency requirements.
关 键 词:50 Gbit/s以太网无源光网络 长短时记忆神经网络 动态带宽分配 网络服务质量
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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