摘要
网络时延是评估网络性能的关键指标之一。主成分分析(PCA)是数据挖掘领域常用的一种多变量分析和降维算法。通过对大型IP网络时延进行PCA分析,旨在挖掘网络时延的深层原因及网络各节点间的相互依赖关系,并搭建一个科学合理的网络时延评价体系,最终得到IP网络建设、优化改造的有效建议。对历史网络时延进行离线分析只是主成分分析方法的一种初步应用,今后可结合网络拓扑结构、现网流量流向、路由、距离等相关因素,将主成分分析方法应用到针对网络流量、网络时延、网络丢包等网络性能的实时在线监测分析中,进一步提升网络运营的效率和质量。
Network time delay is one of the key indexes to evaluate network performance.Principal component analysis(PCA)is a kind of multivariable analysis and declination algorithm commonly used in the field of data mining.Based on PCA analysis of time delay in large IP networks,aiming to find out the deep reason of time delay and the interdependencies among nodes of the network,a scientific and reasonable network time delay evaluation system was built,and effective suggestions for IP network construction and optimization were finally got.The off-line analysis of the historical network delay is only a preliminary application of the PCA.In the future,PCA can be applied to the real-time on-line monitoring and analysis of the network performance,such as network traffic,network delay,network packet loss,etc.,in combination with the network topology,current network traffic direction,routing,distance and other related factors,thus the efficiency and quality of network operations can be further improved.
作者
韦烜
黄晓莹
WEI Xuan;HUANG Xiaoying(Research Institute of China Telecom Co.,Ltd.,Guangzhou 510630,China)
出处
《电信科学》
2021年第4期62-72,共11页
Telecommunications Science
关键词
网络时延
主成分分析
相关系数矩阵
方差贡献率
network time delay
principal component analysis
coefficient matrix
proportion of variance
