深度分组检测技术研究及在流量经营中的应用  

Research of DPI Technology and Application in Flow Management

作　　者：张青[1] 陈翀[1] 向勇[1] 

机构地区：[1]中国电信股份有限公司广州研究院,广州510630

出　　处：《电信科学》2013年第S1期234-239,共6页Telecommunications Science

摘　　要：针对电信企业在大数据时代下数据流量存在的增量不增收的迫切问题,通过研究深度分组检测技术,结合流量经营策略,提出了深度分组检测技术在流量经营中的流量洞察、用户行为分析及智能策略3种应用模式,并对应用中出现的深度分组检测未识别应用、与计费流量比对及数据稽核等技术难点给出了切实可行的解决方案。In the era of big data environment, the urgent problem of flow increments without income increasing is encountered by telecom enterprises. Through the research of the deep packet inspection technology combined with flow management strategy, three kinds of application modes were proposed, including of flow insight, deep packet inspection technology in the flow management of user behavior analysis and intelligent strategy. Many practical solutions to solve technical difficulties were proposed, for example, unidentified application in deep packet inspection data, charging flow ratio, and data auditing, etc.

关 键 词：深度分组检测 流量经营 电信运营商 大数据 

分 类 号：TN915.06[电子电信—通信与信息系统]