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Towards cinematic internet video-on-demand
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European Conference on Computer Systems archive
Proceedings of the 3rd ACM SIGOPS/EuroSys European Conference on Computer Systems 2008 table of contents
Glasgow, Scotland UK
SESSION: Experiences table of contents
Pages 109-122  
Year of Publication: 2008
ISBN:978-1-60558-013-5
Also published in ...
Authors
Bin Cheng  Huazhong University of Science and Technology, Wuhan, China
Lex Stein  Microsoft Research Asia, Beijing, China
Hai Jin  Huazhong University of Science and Technology, Wuhan, China
Zheng Zhang  Microsoft Research Asia, Beijing, China
Sponsors
SIGOPS: ACM Special Interest Group on Operating Systems
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 15,   Downloads (12 Months): 178,   Citation Count: 5
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ABSTRACT

Video-on-demand (VoD) is increasingly popular with Internet users. It gives users greater choice and more control than live streaming or file downloading. Systems such as MSN Video and YouTube deliver content at low bitrates. This may suit short clips, but great films and 5-minute bloopers are as different as symphonies and jingles. For cinema, poor quality and high jitter are less acceptable. Combining user control with high bitrate is compelling, but technically challenging.

VoD is expensive due to the load it places on video source servers. Many researchers have proposed using peer-to-peer (P2P) techniques to shift load from sources to peers (peer-assistance), yet none have implemented and deployed a system with the first purpose of openly and systematically evaluating this approach. To fill this void, we have built and deployed GridCast1. GridCast doubles the bitrates of current popular internet VoD systems, provides a full set of VCR2 operations, and employs peer-assistance to improve scalability and continuity. GridCast has been live on CERNET3 since May of 2006. In peak months, GridCast has served videos to approximately 23,000 users. From the beginning, we have gathered information to understand GridCast and improve its algorithms.

This paper introduces and evaluates GridCast. In May of 2007, we deployed multivideo caching, a major change to the caching algorithms. This paper analyzes scalability and continuity before and after this change. Our results contain several surprises and underline the importance of deployment to validate simulation results. We discuss what improvements can be developed beyond multivideo caching.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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CERNET. China Education and Research Network Annual Report, 2006.
 
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CNNIC. The 20th CNNIC Statistical Survey Report on the Internet Development in China, July 2007.
 
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B. Cohen. Incentives Build Robustness in BitTorrent. In P2PEcon, June 2003.
 
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L. Cui, B. Li, and K. Nahrstedt. oStream: Asynchronous Streaming Multicast in Application-layer Overlay Networks. IEEE Journal on Selected Aread in Communications, 2004.
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Y. J. Hall, P. Piemonte, and M. Weyant. Joost: A Measurement Study. Technical report, School of Computer Science, Carnegie-Mellon University, May 2007.
 
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X. Liao, H. Jin, Y. Liu, M. Ni, and D. Deng. AnySee: Peer-to-Peer Live Streaming. In Proc. of INFOCOM, 2006.
 
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D. Tai, H. A. Kien, and T. Mounir. P2VoD: Providing Fault Tolerant Video-on-Demand Streaming in Peer-to-Peer Environment. In Proc. of ICC 2004, 2004.
 
17
D. Wang and J. Liu. Peer-to-Peer Asynchronous Video Streaming using Skip List. In Proc. of ICME, 2006.
 
18
X. Zhang, J. Liu, B. Li, and Y. S. P. Yum. CoolStreaming/DONet: A Data-driven Overlay Network for Peer-to-peer Live Media Streaming. In Proc. of INFOCOM, 2005.



REVIEW

"Dana Petcu : Reviewer"

Cheng et al. describe and discuss GridCast, a video-on-demand system, online since 2006. This system employs peer assistance to improve scalability and continuity. This approach allows GridCast to improve the bit rates, compared with the most popu  more...

Collaborative Colleagues:
Bin Cheng: colleagues
Lex Stein: colleagues
Hai Jin: colleagues
Zheng Zhang: colleagues