ACM Home Page
Please provide us with feedback. Feedback
Providing statistically guaranteed streaming quality for peer-to-peer live streaming
Full text PdfPdf (377 KB)
Source
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: Peer-to-peer streaming II table of contents
Pages 127-132  
Year of Publication: 2009
ISBN:978-1-60558-433-1
Authors
Miao Wang  University of Nebraska-Lincoln, Lincoln, NE, USA
Lisong Xu  University of Nebraska-Lincoln, Lincoln, NE, USA
Byrav Ramamurthy  University of Nebraska-Lincoln, Lincoln, NE, USA
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
Bibliometrics
Downloads (6 Weeks): 19,   Downloads (12 Months): 89,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1542245.1542274
What is a DOI?

ABSTRACT

Most of the literature on peer-to-peer (P2P) live streaming focuses on how to provide best-effort streaming quality by efficiently using the system bandwidth; however, there is no guarantee about the provided streaming quality. This paper considers how to provide statistically guaranteed streaming quality to a P2P live streaming system. We study a class of admission control algorithms which statistically guarantee that a P2P live streaming system has sufficient overall bandwidth. Our results show that there is a tradeoff between the user blocking rate and user-behavior insensitivity (i.e., whether the system performance is insensitive to the fine statistics of user behaviors). We also find that the system performance is more sensitive to the distribution change of user inter-arrival times than to that of user lifetimes.


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
Ahmed, M. Call admission control in wireless networks: A comprehensive survey. IEEE Communications Surveys and Tutorials 7, 1 (2005), 50--69.
2
 
3
4
 
5
 
6
 
7
8
 
9
Hei, X., Liang, C., Liang, J., Liu, Y., and Ross, K. A measurement study of a large-scale P2P IPTV system. IEEE Transactions on Multimedia 9, 8 (December 2007), 1672--1687.
10
 
11
Kumar, R., Liu, Y., and Ross, K. Stochastic fluid theory for P2P streaming systems. In Proceedings of IEEE INFOCOM (Anchorage, AK, May 2007).
 
12
Kung, H., and Wu, C. Differentiated admission for peer-to-peer systems: Incentivizing peers to contribute their resources. In Proceedings of Workshop on Economics of Peer-to-Peer Systems (Berkely, CA, June 2003).
 
13
Li, B., Qu, Y., Keung, Y., Xie, S., Lin, C., Liu, J., and Zhang, X. Inside the new Coolstreaming: principles, measurements and performance implications. In Proceedings of IEEE INFOCOM (Phoenix, AZ, April 2008).
 
14
Liu, Y., Guo, Y., and Liang, C. A survey on peer-to-peer video streaming systems. Journal of Peer-to-Peer Networking and Applications 1, 1 (March 2008), 18--28.
 
15
Perros, H., and Elsayed, K. Call admission control schemes: a review. IEEE Communications Magazine 34, 11 (November 1996), 82--91.
 
16
Raghuveer, A., Dong, Y., and Du, D. On providing reliability guarantees in live video streaming with collaborative clients. In Proceedings of MMCN (San Jose, CA, January 2007).
 
17
Siwko, J., and Rubin, I. Call admission control for capacity-varying networks. Telecommnuication Systems 16, 1 (2001), 15--40.
 
18
Wang, F., Liu, J., and Xiong, Y. Stable peers: Existence, importance, and application in peer-to-peer live video streaming. In Proceedings of IEEE INFOCOM (Phoenix, AZ, April 2008).
 
19
Wu, C., Li, B., and Zhao, S. Characterizing peer-to-peer streaming flows. IEEE Journal on Selected Areas in Communications 25, 9 (December 2007), 1612--1626.
 
20
 
21
Zhang, M., Zhang, Q., and Yang, S. Understanding the power of pull-based streaming protocol: Can we do better? IEEE Journal on Selected Areas in Communications 25, 8 (2007), 1678--1694.

Collaborative Colleagues:
Miao Wang: colleagues
Lisong Xu: colleagues
Byrav Ramamurthy: colleagues