基于众包感知的OTT业务体验影响因素分析

Crowdsourcing-Based Analysis on Impact Factors of OTT Service Perception

随着移动互联网和OTT(Over-the-top)业务的高速发展,传统以网络为中心的运维方式难以为继,因此如何提高用户业务体验、变革传统网络质量的评价和优化方法迫在眉睫。本文围绕基于终端侧业务感知大数据进行网络和业务质量评价这一新型网络评价与运维作业模式,首先对影响端到端用户业务感知的因素进行了较全面的剖析;并利用从普通用户终端上采集的现网真实的海量业务感知数据,重点针对网页浏览这一代表性的OTT业务,从多个不同的维度深入研究影响业务感知的关键因素,以及关键业务感知指标间的关联关系,揭示了OTT业务感知的关键影响因素间的内在联系。研究结果对于进一步分析业务感知质差成因、合理构建用户体验质量(Quality of experience,Qo E)映射模型等具有很好的参考价值。

Service perception analysis is the crucial solution to understand user experience and network quality,and the maintenance and optimization of the mobile networks. With the fast development of mobile Internet and OTT（ over-the-top） services,the traditional network-centric mode of network operation and maintenance is no longer an effective way. In this situation,how to effectively evaluate and optimize user＇s service perception is getting more and more important. The key factors that impact on user＇ s end-to-end OTT service perception is analyzed based on the so-called crowd sourcing based user perception monitoring methodology. Furthermore,the inner relationship among the key factors and the interaction between key quality indicators are evaluated from several aspects,by utilizing big data set of user perception collected from large amount of smart phone users in the real network. The results of analysis are highly valuable references for the improvement of user perception and network quality,network deployment and optimizations,etc.