基于IPv6 AS级复杂网络的特征分析与建模  

FEATURE ANALYSIS AND MODELING BASED ON IPV6 AS LEVEL COMPLEX NETWORK

作　　者：刘冰[1] 杨学[1] 杨琪 马永征[1] Liu Bing;Yang Xue;Yang Qi;Ma Yongzheng(China Internet Network Information Center,Beijing 100190,China)

机构地区：[1]中国互联网络信息中心,北京100190

出　　处：《计算机应用与软件》2020年第4期105-113,共9页Computer Applications and Software

基　　金：中国互联网络信息中心“国家互联网基础资源大数据(服务)平台一期”项目(1805004)。

摘　　要：基于2003年至2018年共15年的IPv6 BGP报文数据,提取自治系统(Autonomous System, AS)级复杂网络结构数据,分析其各维度特征的变化情况。通过一系列计算验证了复杂网络的节点间连接状态满足幂律分布,节点间存在富人俱乐部现象以及网络的自相似等特性。同时,根据各维度特征的时间序列展开分析,通过差分自回归移动平均模型(Autoregressive Integrated Moving Average Model, ARIMA)建模,评估并预测IPv6 AS级复杂网络未来的状态和发展趋势。Based on IPv6 BGP message data for 15 years,from 2003 to 2018,we extract the complex network structure data of autonomous system(AS)level,and analyze change of its characteristics of each dimension.Through a series of calculations,it was verified that the connection state between nodes of a complex network satisfied the power-law distribution.There was a phenomenon of the rich club between nodes,as well as self-similar character of the network.According to the analysis of time series in different feature dimensions,the autoregressive integrated moving average model(ARIMA)was used to assess and predict the status and development trend of the IPv6 ASlevel complex network in the future.

关 键 词：IPv6 自治系统 复杂网络 幂律分布 自相似性 拓扑建模 

分 类 号：TP309.7[自动化与计算机技术—计算机系统结构]