A Study on the Characteristics of Douyin Short Videos and Implications for Edge Caching
Douyin,internationally known as TikTok,has become one of the most successful short-video platforms.To maintain its popularity,Douyin has to provide better Quality of Ex-perience(QoE)to its growing user base.Understanding the characteristics of Douyin videos is thus critical to its service improvement and system design.In this paper,we present an initial study on the fundamental characteristics of Douyin videos based on a dataset of over 260 thousand short videos collected across three months.The characteristics of Douyin videos are found to be significantly different from traditional online videos,ranging from video bitrate,size,to popular-ity.In particular,the distributions of the bitrate and size of videos follow Weibull distribution.We further observe that the most popular Douyin videos follow Zifp's law on video popularity,but rest of the videos do not.We also investigate the correlation between popularity metrics used for Douyin videos.It is found that the correlation between the number of views and the number of likes are strong,while other cor-relations are relatively low.Finally,by using a case study,we demonstrate that the above findings can provide important guidance on designing an efficient edge caching system.
Edge Caching QoE Video Popularity Zipfian Distribution Weibull Distribution Douyin(TikTok)
Zhuang Chen Qian He Zhifei Mao Hwei-Ming Chung Sabita Maharjan
Guilin University of Electronic Technology Guilin,China Norwegian University of Science and Technology(NTNU)Trondheim,Norway University of Oslo Oslo,Norway University of Oslo,and Simula Research Laboratory Oslo,Norway
国际会议
2019国图灵大会(ACM Turing Celebration conference-China 2019 )
成都
英文
395-400
2019-05-17（万方平台首次上网日期，不代表论文的发表时间）