摘要： 在线视频服务用户选择服务质量最佳的视频服务提供商,其存在的主要问题是来自于用户网络的异构性和动态性。为此,基于海服务架构,设计并实现一个面向在线视频服务的测量和推荐系统。模拟大量用户端节点进行测量,并根据测量结果预测用户的体验质量,据此向用户提供实时服务源推荐。运用该系统构建一个包含10家视频网站的视频测量和推荐系统,观测9个月的数据并进行分析。实验结果表明,该测量与推荐系统可以向用户提供服务源推荐,使用户获得当前网络状况下对该视频内容最佳的观看体验。

关键词: 在线视频服务, 海服务, 网络测量, 视频质量, 服务推荐, 大数据

Abstract: Selecting the proper service provider for different users has many important problems.The most important one comes from the heterogeneity and dynamic of user’s network.Therefore,based on the sea service architecture,a measurement and recommendation system oriented online video services is designed and implemented.The system simulates a large number of client nodes to measure and predict the user’s Quality of Experience(QoE) based on the measurement results,thereby providing users with real-time service source recommendations.The system is used to build a video measurement and recommendation system containing 10 video sites,and the data for 9 months are observed and analyzed.Experimental results show that the system can provide service source recommendation to users needs to watch,so that the user can use the system to obtain the best viewing experience under the current network conditions.

Key words: online video service, sea service, network measurement, video quality, service recommendation, big data

中图分类号: 

• TP311