基于目标IP大数据分析提升移动用户上网体验研究

Based on Destination IP Big Data Analysis to Improve Mobile User Access Experience

在移动互联网飞速发展的同时,电信运营商的通信网络中积累了大量移动用户的上网行为记录,这其中就包括IP大数据。通过对IP大数据的分析,可以发现应用、移动用户以及通信网络的内在联系。首先,可以根据IP流量排名确定应用价值高低及其部署位置;其次,从应用出发追溯到访问该应用的移动用户及其所在位置,借助CRM系统计算移动用户群价值;最后,综合考量应用价值、访问该应用的移动用户群价值、网络访问路径等因素,完成应用提供商CDN节点部署架构的优化,提升移动用户上网体验。

With the rapid development of Mobile Internet, Communication Networks have saved plenty of records during surfing Internet, including IP big data. Through the analysis of the IP big data, we can find the relationship among application, mobile subscriber and communication networks. Firstly, we can ascertain the value of application and its position; Secondly, we can trace the position of mobile subscriber accessing the application, and then calculate the value based on CRM system; Lastly, weighing ap- plication value, mobile subscriber group value and network access path, we can perfect the CDN node deployment architecture and improve the user experience.