Measurement and Modeling of Video Watching Time in a Large-Scale Internet Video-on-Demand System

被引：52
作者：
Chen, Yishuai [1 ]
Zhang, Baoxian [2 ]
Liu, Yong [3 ]
Zhu, Wei [4 ]
机构：
[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
[2] Univ Chinese Acad Sci, Res Ctr Ubiquitous Sensor Networks, Beijing 100049, Peoples R China
[3] Polytech Inst New York Univ, Dept Elect & Comp Engn, Brooklyn, NY 11201 USA
[4] PPLive Inc, Shanghai 201203, Peoples R China
来源：
IEEE TRANSACTIONS ON MULTIMEDIA | 2013年 / 15卷 / 08期
基金：
美国国家科学基金会;
关键词：
Terms-Measurement; modeling; streaming media; videos; consumer behavior;
D O I：
10.1109/TMM.2013.2280123
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Video watching time is a crucial measure for studying user watching behavior in online Internet video-on-demand (VoD) systems. It is important for system planning, user engagement understanding, and system quality evaluation. However, due to the limited access of user data in large-scale streaming systems, a systematic measurement, analysis, and modeling of video watching time is still missing. In this paper, we measure PPLive, one of the most popular commercial Internet VoD systems in China, over a three week period. We collect accurate user watching data of more than 100 million streaming sessions of more than 100 thousand distinct videos. Based on the measurement data, we characterize the distribution of watching time of different types of videos and reveal a number of interesting characteristics regarding the relation between video watching time and various video-related features (including video type, duration, and popularity). We further build a suite of mathematical models for characterizing these relationships. Extensive performance evaluation shows the high accuracy of these models as compared with commonly used data-mining based models. Our measurement and modeling results bring forth important insights for simulation, design, deployment, and evaluation of Internet VoD systems.
引用
收藏
页码：2087 / 2098
页数：12
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