TY - GEN
T1 - Accelerating YouTube with video correlation
AU - Cheng, Xu
AU - Liu, Jiangchuan
AU - Wang, Haiyang
PY - 2009
Y1 - 2009
N2 - In this paper, using long-term data traces, we present an in-depth measurement study on the characteristics of YouTube, the most successful site providing a new generation of short video sharing service. We find that YouTube videos have noticeable differences compared with traditional videos, making it difficult to use conventional strategies, such as peer-to-peer, to reduce the server workload. However, the video correlation presented in YouTube opens new opportunities. We design a novel peer-to-peer short video sharing system based on video correlation, in which peers are responsible for re-distributing the videos that they have cached. We address a series of key design issues to realize the system, including a novel architecture design, an efficient indexing scheme and a source rate allocation mechanism. We perform extensive simulations, which show that the system greatly reduces the server workload and improves the playback quality.
AB - In this paper, using long-term data traces, we present an in-depth measurement study on the characteristics of YouTube, the most successful site providing a new generation of short video sharing service. We find that YouTube videos have noticeable differences compared with traditional videos, making it difficult to use conventional strategies, such as peer-to-peer, to reduce the server workload. However, the video correlation presented in YouTube opens new opportunities. We design a novel peer-to-peer short video sharing system based on video correlation, in which peers are responsible for re-distributing the videos that they have cached. We address a series of key design issues to realize the system, including a novel architecture design, an efficient indexing scheme and a source rate allocation mechanism. We perform extensive simulations, which show that the system greatly reduces the server workload and improves the playback quality.
KW - Peer-to-peer
KW - Social network
KW - Video on demand
KW - YouTube
UR - http://www.scopus.com/inward/record.url?scp=72149127124&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=72149127124&partnerID=8YFLogxK
U2 - 10.1145/1631144.1631156
DO - 10.1145/1631144.1631156
M3 - Conference contribution
AN - SCOPUS:72149127124
SN - 9781605587592
T3 - 1st ACM SIGMM International Workshop on Social Media, WSM'09, Co-located with the 2009 ACM International Conference on Multimedia, MM'09
SP - 49
EP - 56
BT - 1st ACM SIGMM International Workshop on Social Media, WSM'09, Co-located with the 2009 ACM International Conference on Multimedia, MM'09
T2 - 1st ACM SIGMM International Workshop on Social Media, WSM'09, Co-located with the 2009 ACM International Conference on Multimedia, MM'09
Y2 - 19 October 2009 through 24 October 2009
ER -