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内容分发网络下的用户原创视频热度研究

Characterizing Popularity of User-generated Videos in CDN

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【作者】 关晓惠钱亚冠周志敏孙欣欣

【Author】 GUAN Xiaohui1,QIAN Yaguan2,3,ZHOU Zhimin1,SUN Xinxin1(1.Department of Computer and Information Engineering,Zhejiang Water Conservancy and Hydropower College,Hangzhou 310018,China; 2.Science College,Zhejiang University of Science and Technology,Hangzhou 310023,China; 3.College of Computer Science,Zhejiang University,Hangzhou 310027,China)

【机构】 浙江水利水电专科学校计算机与信息工程系浙江科技学院理学院浙江大学计算机学院

【摘要】 视频的热度是指用户对视频的关注程度。主要对大规模内容分发网络环境下的在线共享网站原创视频的热度进行分析。提出了综合视频点击数、评论数、评分等多元指标对视频热度进行统计刻画,分析各个指标的分布模型以及指标之间的相互关系,并对视频热度随时间的变化趋势进行了详细分析。通过对实际的爬虫数据统计分析,发现热度指标的分布具有典型的无标度特征,随着视频上传时间的增长,热度越来越趋于稳定。上述发现对于视频内容提供商和互联网运营商在服务器部署、内容缓存、容量规划和流量优化等方面具有重要的意义。

【Abstract】 The popularity of user generated videos means how users concern about the videos.In this paper,a characterization of the popularity of user generated content videos in large-scale content delivery network is presented.The indicators such as view counts,comments,ratings are studied to depict the popularity of video.The probability distribution and interrelation of the probability indicators are illustrated.It is found that they have the scale-free characterization.It also presents the temporal trend of popularity along with the upload time.The popularity gradually level off with the increase of upload time.The experimental results have great significance in server deployment,content caching,capacity planning and traffic optimization for video content providers and network operators.

【基金】 浙江省教育厅科研资助项目(Y201017457)
  • 【分类号】TP391.41
  • 【被引频次】3
  • 【下载频次】212
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