摘要
随着第4代移动通信网络(4G)商用和移动互联网的迅速发展,运营商对业务流量的监测也显得格外重要。首先通过对移动分组网络数据进行解码预处理,合成基于传输流的xDR,然后结合DPI技术和DFI技术的互补优势,实现移动分组网络的业务识别和统计。经过现网数据测试,本方案能够很好地对移动分组网进行业务xDR合成和流量识别统计,具有较高的处理效率和识别准确性,达到了理想的效果,对4G时代移动分组网络优化的理论和实践有重要参考意义。
With the rapidly developing of mobile internet and the commercial use of 4G,monitoring the service traffic becomes more and more important to operators.Firstly,a scheme for synthesizing xDR based on transport stream was given,after decoding preprocessing for the data of mobile packet network.Then the service identification and statistics of mobile packet network were implemented by using the complementary advantages for DPI （deep packet inspection） and DFI （deep flow inspection） technology.According to the test of current network data,this scheme works well for xDR synthesizing and service identification,with high efficiency and accuracy.It is of great significance to optimization of mobile packet network in 4G era.
出处
《电信科学》
北大核心
2014年第4期88-94,共7页
Telecommunications Science
基金
国家发展和改革委员会电子信息产业振兴项目(No.2012[995])
国家火炬计划基金资助项目(No.2012GH011751)
