基于大数据的网页浏览质差分析方法研究  

Quality analysis method of Web browsing based on big data

作　　者：程卫华[1] 何肖嵘[1] CHENG Weihua;HE Xiaorong(Shanghai Branch of China Telecom Co.,Ltd.,Shanghai 200120,China)

机构地区：[1]中国电信股份有限公司上海分公司,上海200120

出　　处：《电信科学》2020年第11期174-181,共8页Telecommunications Science

摘　　要：传统的网络运维往往聚焦网络和设备的运行状态,难以解决用户主观感知问题,迫切需要建立一套端到端互联网应用感知管理体系。围绕网页浏览的质量分析环节,基于大数据技术研究用户感知数据的质量分析框架和方法,设计提出了一套基于大数据技术的质量分析系统框架,用于实现互联网业务质量分析。以某国际网站为例,提出了“二望五切”诊断法用于定界溯因,提高人工分析效率,验证了所提方法的有效性。The traditional network operation and maintenance often focuses on the operation status of the network and equipment,which is difficult to solve the user's subjective perception.It is urgent to establish an end-to-end Internet application awareness management system.Focusing on the quality analysis of web browsing,the quality analysis framework and method of user perceived data based on big data technology was studied,a quality analysis system framework based on big data technology was designed and proposed,which was used to realize the quality analysis of Internet business.Taking an international website as an example,a diagnosis method of"two looks and five cuts"was proposed to delimit and trace the cause,which improves the efficiency of manual analysis and verifies the effectiveness of the proposed method.

关 键 词：大数据 QOE 质量分析 KQI KPI 

分 类 号：TN929.5[电子电信—通信与信息系统]