I Tube, You Tube, Everybody Tubes: Analyzing the World’s Largest User Generated Content Video System

I Tube, You Tube, Everybody Tubes: Analyzing the World’s Largest User Generated Content Video System (2007)

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by Meeyoung Cha , Haewoon Kwak , Pablo Rodriguez , Yong-yeol Ahn , Sue Moon

Venue:	In Proceedings of the 5th ACM/USENIX Internet Measurement Conference (IMC’07
Citations:	109 - 5 self

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Datum	Value	Source
TITLE	I Tube, You Tube, Everybody Tubes: Analyzing the World’s Largest User Generated Content Video System	SVM HeaderParse 0.2
AUTHOR NAME	Meeyoung Cha	SVM HeaderParse 0.2
AUTHOR AFFIL	∗ Telefonica Research, Barcelona, Spain; † KAIST, Daejeon, Korea	SVM HeaderParse 0.2
AUTHOR NAME	Haewoon Kwak	SVM HeaderParse 0.2
AUTHOR AFFIL	∗ Telefonica Research, Barcelona, Spain; † KAIST, Daejeon, Korea	SVM HeaderParse 0.2
AUTHOR NAME	Pablo Rodriguez	SVM HeaderParse 0.2
AUTHOR AFFIL	∗ Telefonica Research, Barcelona, Spain; † KAIST, Daejeon, Korea	SVM HeaderParse 0.2
AUTHOR NAME	Yong-yeol Ahn	SVM HeaderParse 0.2
AUTHOR AFFIL	∗ Telefonica Research, Barcelona, Spain; † KAIST, Daejeon, Korea	SVM HeaderParse 0.2
AUTHOR NAME	Sue Moon	SVM HeaderParse 0.2
AUTHOR AFFIL	∗ Telefonica Research, Barcelona, Spain; † KAIST, Daejeon, Korea	SVM HeaderParse 0.2
ABSTRACT	User Generated Content (UGC) is re-shaping the way people watch video and TV, with millions of video producers and consumers. In particular, UGC sites are creating new viewing patterns and social interactions, empowering users to be more creative, and developing new business opportunities. To better understand the impact of UGC systems, we have analyzed YouTube, the world’s largest UGC VoD system. Based on a large amount of data collected, we provide an in-depth study of YouTube and other similar UGC systems. In particular, we study the popularity life-cycle of videos, the intrinsic statistical properties of requests and their relationship with video age, and the level of content aliasing or of illegal content in the system. We also provide insights on the potential for more efficient UGC VoD systems (e.g. utilizing P2P techniques or making better use of caching). Finally, we discuss the opportunities to leverage the latent demand for niche videos that are not reached today due to information filtering effects or other system scarcity distortions. Overall, we believe that the results presented in this paper are crucial in understanding UGC systems and can provide valuable information to ISPs, site administrators, and content owners with major commercial and technical implications. Categories and Subject Descriptors Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee.	SVM HeaderParse 0.2
YEAR	2007	INFERENCE
VENUE	In Proceedings of the 5th ACM/USENIX Internet Measurement Conference (IMC’07	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
CITATIONS	34 found	ParsCit 1.0