基于大数据的运营商IDC业务违规转接监控的研究与试点  

Research and Pilot of Monitoring the Illegal Switching of IDC Services Based on Big Data

作　　者：朱明星 段霞光 陈晓敏 ZHU Ming-xing;DUAN Xia-guang;CHEN Xiao-min(China Unicom Guangzhou Branch,Guangzhou 510630,China)

机构地区：[1]中国联通广州市分公司,广东广州510630

出　　处：《通信电源技术》2020年第6期23-25,共3页Telecom Power Technology

摘　　要：通过分光的方式,从IDC机房采集IDC接入客户的网络流数据。对IDC接入客户网络流数据的挖掘和大数据分析,可掌握客户的流量流向、应用热点、业务合规性、网络安全等数据;通过业务模型学习有针对性的对IDC接入客户实施控制策略和安全防护措施,防止IDC接入客户使用IDC带宽从事非法转接以及搭建VPN业务,满足运营类客户(包括传统IDC运营和云计算运营客户)更好的拓展多线接入和部署基于分布式多活数据中心的需求,带动整体广州联通IDC业务收入的快速增长。By collecting IDC access customer’s network flow data from IDC computer room and mining IDC access customer’s network flow data and analyzing big data,we can grasp customer’s flow direction,application hotspot,business compliance,network security and other data.Through business model learning,we can implement targeted control strategy and security protection measures for IDC access customers to prevent IDC access.Customers use IDC bandwidth to engage in illegal transfer and build VPN business,to meet the needs of operational customers(including traditional IDC operation and cloud computing operation customers)to better expand multi-line access and deploy distributed multi-live data centers,and to drive the rapid growth of IDC business revenue of Guangzhou Unicom as a whole.

关 键 词：大数据 IDC 非法转接 多线接入 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]