UGC Video Sharing: Measurement and Analysis

User-generated content (UGC) site has become a new killer Internet application in the recent four years. Among those popular sites, YouTube is the most representative and successful one providing a new generation of short video sharing service. Today, YouTube is a dominant provider of online video in the Internet, and is still growing fast. Understanding the features of YouTube and similar video sharing sites is thus crucial to their sustainable development and to network traffic engineering.

[1]  Jiangchuan Liu,et al.  Proxy caching for media streaming over the Internet , 2004, IEEE Communications Magazine.

[2]  Albert-László Barabási,et al.  Hierarchical organization in complex networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[3]  Matthew Richardson,et al.  Yes, there is a correlation: - from social networks to personal behavior on the web , 2008, WWW.

[4]  Mary K. Vernon,et al.  Analysis of educational media server workloads , 2001, NOSSDAV '01.

[5]  Bo Li,et al.  CoolStreaming/DONet: a data-driven overlay network for peer-to-peer live media streaming , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[6]  James F. Doyle,et al.  Peer-to-Peer: harnessing the power of disruptive technologies , 2001, UBIQ.

[7]  Jiangchuan Liu,et al.  Statistics and Social Network of YouTube Videos , 2008, 2008 16th Interntional Workshop on Quality of Service.

[8]  Yu Gu,et al.  Watch global, cache local: YouTube network traffic at a campus network: measurements and implications , 2008, Electronic Imaging.

[9]  Amin Vahdat,et al.  Long-term Streaming Media Server Workload Analysis and Modeling , 2003 .

[10]  Dan Wang,et al.  A Measurement Study of External Links of YouTube , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.

[11]  Soam Acharya,et al.  Experiment to characterize videos stored on the Web , 1997, Electronic Imaging.

[12]  Peter Parnes,et al.  Characterizing user access to videos on the World Wide Web , 1999, Electronic Imaging.

[13]  Krishna P. Gummadi,et al.  Measurement and analysis of online social networks , 2007, IMC '07.

[14]  John C. Paolillo.  Structure and Network in the YouTube Core , 2008, Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008).

[15]  Jiangchuan Liu,et al.  NetTube: Exploring Social Networks for Peer-to-Peer Short Video Sharing , 2009, IEEE INFOCOM 2009.

[16]  Li Fan,et al.  Web caching and Zipf-like distributions: evidence and implications , 1999, IEEE INFOCOM '99. Conference on Computer Communications. Proceedings. Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies. The Future is Now (Cat. No.99CH36320).

[17]  Zongpeng Li,et al.  Youtube traffic characterization: a view from the edge , 2007, IMC '07.

[18]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[19]  Donald F. Towsley,et al.  Proxy prefix caching for multimedia streams , 1999, IEEE INFOCOM '99. Conference on Computer Communications. Proceedings. Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies. The Future is Now (Cat. No.99CH36320).

[20]  Martin Suter,et al.  Small World , 2002 .

[21]  Sharon L. Milgram,et al.  The Small World Problem , 1967 .

[22]  Ben Y. Zhao,et al.  Understanding user behavior in large-scale video-on-demand systems , 2006, EuroSys.

[23]  Gang Liu,et al.  Measurement and Modeling of Large-Scale Peer-to-Peer Storage System , 2004, GCC Workshops.

[24]  Tim O'Reilly,et al.  What is Web 2.0: Design Patterns and Business Models for the Next Generation of Software , 2007 .

[25]  Ludmila Cherkasova,et al.  Analysis of enterprise media server workloads: access patterns, locality, content evolution, and rates of change , 2004, IEEE/ACM Transactions on Networking.

[26]  Sonia Fahmy,et al.  Analyzing video services in Web 2.0: a global perspective , 2008, NOSSDAV.

[27]  Martin Halvey,et al.  Exploring social dynamics in online media sharing , 2007, WWW '07.

[28]  Albert-László Barabási,et al.  Internet: Diameter of the World-Wide Web , 1999, Nature.

[29]  Bo Li,et al.  Opportunities and Challenges of Peer-to-Peer Internet Video Broadcast , 2008, Proceedings of the IEEE.

[30]  Cheng Huang,et al.  Can internet video-on-demand be profitable? , 2007, SIGCOMM '07.

[31]  Pablo Rodriguez,et al.  I tube, you tube, everybody tubes: analyzing the world's largest user generated content video system , 2007, IMC '07.

[32]  Andy Oram,et al.  Peer-to-Peer: Harnessing the Power of Disruptive Technologies , 2001 .

[33]  Alec Wolman,et al.  Measurement and Analysis of a Streaming Media Workload , 2001, USITS.