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Peer-assisted online storage and distribution: modeling and server strategies
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International Workshop on Network and Operating System Support for Digital Audio and Video archive
Proceedings of the 18th international workshop on Network and operating systems support for digital audio and video table of contents
Williamsburg, VA, USA
SESSION: New applications and services table of contents
Pages 13-18  
Year of Publication: 2009
ISBN:978-1-60558-433-1
Authors
Ye Sun  Hong Kong University of Science & Technology, Hong Kong, Hong Kong
Fangming Liu  Hong Kong University of Science & Technology, Hong Kong, Hong Kong
Bo Li  Hong Kong University of Science & Technology, Hong Kong, Hong Kong
Baochun Li  University of Toronto, Toronto, Canada
Sponsors
SIGCOMM: ACM Special Interest Group on Data Communication
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Peer-assisted online storage and distribution systems have recently enjoyed large-scale deployment gaining increased popularity for multimedia content sharing in the Internet. Such systems typically deploy dedicated servers while effectively leveraging peer bandwidth in a complementary fashion, in order to guarantee adequate levels of service quality and minimize server cost. In this paper, motivated by our recent empirical study on a real-world system, FS2You, we develop a mathematical model to characterize and understand peer-assisted online storage systems serving multiple files of different popularity. Specifically, we examine and compare representative server bandwidth allocation strategies, and investigate the critical performance metrics and factors. We demonstrate that different server strategies may lead to remarkably different service qualities in terms of average downloading times, peer satisfaction levels and service quality differentiation. In particular, the current server strategy in FS2You is able to offer system-wide average downloading times comparable to the theoretical bound derived from our model.


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.

 
1
S. Das, S. Tewari, and L. Kleinrock. The Case for Servers in a Peer-to-Peer World. In Proc. of IEEE ICC, June 2006.
 
2
FS2You. http://www.rayfile.com.
 
3
Z. Ge, D. R. Figueiredo, S. Jaiswal, J. Kurose, and D. Towsley. Modeling Peer-Peer File Sharing Systems. In Proc. of IEEE INFOCOM, March 2003.
 
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F. Liu, Y. Sun, B. Li, and X. Zhang. Understanding the Roles of Servers in Large-scale Peer-Assisted Online Storage Systems. In Proc. of IEEE ICC, June 2009.
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8
Y. Sun, F. Liu, B. Li, B. Li, and X. Zhang. FS2You: Peer-Assisted Semi-Persistent Online Storage at a Large Scale. In Proc. of IEEE INFOCOM, April 2009.
 
9
C. Wu, B. Li, and S. Zhao. Multi-Channel Live P2P Streaming: Refocusing on Servers. In Proc. of IEEE INFOCOM, April 2008.
 
10
X. Yang and G. de Veciana. Service Capacity of Peer to Peer Networks. In Proc. of IEEE INFOCOM, March 2004.

Collaborative Colleagues:
Ye Sun: colleagues
Fangming Liu: colleagues
Bo Li: colleagues
Baochun Li: colleagues