Can internet video-on-demand be profitable?

By Cheng Huang, Jin Li, Keith W. Ross. Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, 2007

506 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/bf5678aa04ab7c3708909a7bb5f1b7eb60ae9212

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Pablo Rodríguez Rodríguez
2. Arnaud Legout
3. D. Chiu
4. John C.S. Lui
5. Tom Zhengjia Fu
6. D. Towsley
7. Meeyoung Cha
8. Cheng Huang

In Computer Vision and Pattern Recognition

1. Pablo Rodríguez Rodríguez
2. D. Towsley

Citations in the corpus

• Network characteristics of video streaming traffic (2011, background): “The amount of unused bytes is also important because recent studies have shown that users tend to interrupt the video download due to lack of interest [16, 17, 19].”
• Analyzing the Video Popularity Characteristics of Large-Scale User Generated Content Systems (2009, methodology): “, skew) suggests high potential for a viable P2P distribution [20].”
• Statistics and Social Network of YouTube Videos (2008, unknown): “[22].”
• Challenges, design and analysis of a large-scale p2p-vod system (2008, methodology): “In this paper, we describe and discuss the challenges and the architectural design issues of a large-scale P2P-VoD system based on the experiences of a real system deployed by PPLive.”