摘要
伴随着互联网的飞速发展,移动网络的规模和复杂度急剧增加,给网络运维工作带来了巨大挑战,对运维人员专业技能要求更高,维护的任务也急剧增加,迫切需要自动化、智能化的手段辅助维护人员进行网络管理及维护。本文基于多源数据融合处理技术,为网络流量预测和均衡提供了一种自动化方法模型,并将该模型进行真实数据训练并验证有效,在网络拥塞、网络规划、网络质量优化、以及提升网络智能化水平等方面提供了有力的解决方案和技术支撑。
With the rapid development of the Internet,the scale and complexity of mobile networks are also increasing dramatically.Along with the subdivision of network,it brings new challenges to network operation and maintenance,and requires higher professional skills of operation and maintenance personnel.Maintainers can use more automatic and intelligent methods to manage and preserve the network.Based on multi-source data fusion processing,this scheme provides an automatic prediction and balancing method for network trafic,and trains and verifies the model with real data.It provides important solutions and technical support in solving network congestion,network planning,network quality optimization,and improving the level of network intelligence,in order to apply the self-intelligencenetwork processing scheme.
作者
张兴亮
王晨
谭代炜
周铭
刘畅
宋丹丹
杜宇
ZHANG Xing-liang;WANG Chen;TAN Dai-wei;ZHOU Ming;LIU Chang;SONG Dan-dan;DU Yu(China Mobile Group Jilin Co.,Ltd.,Changchun 130021,China;China Mobile Group Co.,Ltd.,Beijing 100032,China)
出处
《电信工程技术与标准化》
2022年第S01期7-10,共4页
Telecom Engineering Technics and Standardization
关键词
多源数据
流量预测:自动化均衡
自智网络
multi-source data
network traffic prediction
automatic balancing
autonomous networks
