Abstract | ||
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This paper presents a traffic characterization study of the popular video sharing service, YouTube. Over a three month period we observed almost 25 million transactions between users on an edge network and YouTube, including more than 600,000 video downloads. We also monitored the globally popular videos over this period of time. In the paper we examine usage patterns, file properties, popularity and referencing characteristics, and transfer behaviors of YouTube, and compare them to traditional Web and media streaming workload characteristics. We conclude the paper with a discussion of the implications of the observed characteristics. For example, we find that as with the traditional Web, caching could improve the end user experience, reduce network bandwidth consumption, and reduce the load on YouTube's core server infrastructure. Unlike traditional Web caching, Web 2.0 provides additional meta-data that should be exploited to improve the effectiveness of strategies like caching. |
Year | DOI | Venue |
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2007 | 10.1145/1298306.1298310 | Internet Measurement Comference |
Keywords | Field | DocType |
traditional web caching,additional meta-data,popular video,youtube traffic characterization,popular video sharing service,month period,video downloads,edge network,network bandwidth consumption,traditional web,observed characteristic,multimedia,web 2 0,user experience | World Wide Web,End user,Computer science,Workload,Popularity,Enhanced Data Rates for GSM Evolution,Computer network,Bandwidth (signal processing),Video sharing,Web 2.0,Multimedia | Conference |
Citations | PageRank | References |
454 | 34.87 | 24 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Phillipa Gill | 1 | 1504 | 114.56 |
Martin Arlitt | 2 | 3275 | 361.05 |
Zongpeng Li | 3 | 2054 | 153.21 |
Anirban Mahanti | 4 | 1875 | 113.51 |