![An Empirical Study of Flash Crowd Dynamics in a P2P-based Live Video Streaming System Bo Li, Gabriel Y. Keung, Susu Xie, Fangming Liu , Ye Sun, and Hao Yin Email: [email_address] Hong Kong University of Science & Technology Dec 2, 2008 @ IEEE GLOBECOM, New Orleans](https://image.slidesharecdn.com/oral-presentation4726/85/oral-presentation-1-320.jpg)
![Overview: Internet Video Streaming ,[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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Oral Presentation
- 1. An Empirical Study of Flash Crowd Dynamics in a P2P-based Live Video Streaming System Bo Li, Gabriel Y. Keung, Susu Xie, Fangming Liu , Ye Sun, and Hao Yin Email: [email_address] Hong Kong University of Science & Technology Dec 2, 2008 @ IEEE GLOBECOM, New Orleans
- 15. Strong Correlation Between the Number of Short Sessions and Peer Joining Rate
- 26. Q&A Thanks !
- 32. Comparison with the 1 st release (II)
- 33. Comparison with the 1 st release (III)
- 35. System Dynamics
- 37. Peer Adaptation
- 43. Media Player Ready Time under different time period
Hinweis der Redaktion
- Peer-assisted live video streaming is another attractive service in the Internet: 1) Take PPLive, one of the most popular peer-assisted streaming systems nowadays, as an example: at the end of 2005, it has 20 million download and 1 million; independent viewers per day [2]. According to [4], it supports over 200 ; 000 concurrent users at bit rate in the 400-800 Kbps for 2006 Spring Festival Gala on Chinese New Year on January 28, 2006. In 2007, the number of concurrent users for the most popular PPLive session raises to 1 : 5 million [3]. This corresponds to an aggregate bit rate in the vicinity of 600 Gbps, or 540 TB transferred per the 2 hour event. Actually, this type of service but with more challenges than that of file sharing: First,
- , either peers joining process is stretched over a longer period of time or application itself can tolerate much longer delay , the dynamic of user population during annual Spring Festival Gala on Chinese New Year
- In face of frequent peer churns, the maintenance of streaming tree(s) in tree-based approaches is still challenging, and the recovery of tree(s) incurs extra cost. Recently, mesh-based approaches (also referred to as data-driven approaches) have been adopted in many large-scale peer-assisted live video streaming systems, such as Coolstreaming [32], PPLive, UUSee, and etc. In contrast with tree-based approaches, mesh-based overlay designs do not construct and maintain an explicit structure for delivering data. 4) Generally, a mesh-based streaming system has a tracker to keep track of peers in the video session. 5) A peer may download/upload segments from/to multiple partners simultaneously
- over 20% of the users have tried 1 or 2 times in order to successfully start a video session. Hence, a flash crowd has significant impact on the initial joining phase in a P2P streaming system.
- it takes longer time for a newly joined peer to obtain video stream
- Besides the above, there are also open issues relevant to multiple channels, ISPs which is covered in my report, but not shown here due to time limit