OPTIMAL SERVER BANDWIDTH ALLOCATION AMONG MULTIPLE P2P MULTICAST LIVE VIDEO STREAMING SESSIONS

被引:0
作者
Mavlankar, Aditya [1 ]
Noh, Jeonghun [1 ]
Girod, Bernd [1 ]
机构
[1] Stanford Univ, Dept Elect Engn, Informat Syst Lab, Stanford, CA 94305 USA
来源
PV: 2009 17TH INTERNATIONAL PACKET VIDEO WORKSHOP | 2009年
关键词
video streaming; peer-to-peer; multicast; multiple streaming sessions; multiple multicast sessions;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We consider a server that simultaneously streams multiple video channels. Each video channel is delivered to a set of receivers using peer-to-peer (P2P) live multicast. We propose a framework for allocating server bandwidth to minimize distortion across the peer population, across all channels. The optimization problem considers rate, distortion, the audience size, and peer-churn associated with each channel. Network simulations demonstrate reduction of mean distortion across the peer population due to the proposed server bandwidth allocation. We also highlight the general scope of the proposed framework which makes it applicable to scenarios beyond the one considered in this paper. Other optimization metrics rather than average distortion can also be accommodated in the proposed framework.
引用
收藏
页码:10 / 17
页数:8
相关论文
共 21 条
[1]  
[Anonymous], NETWORK SIMULATOR NS
[2]  
Baccichet P, 2007, 2007 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-5, P400
[3]  
BANERJEE S, 2002, P ACM SIGCOMM PITTSB
[4]  
Boyd S., 2004, CONVEX OPTIMIZATION, DOI DOI 10.1017/CBO9780511804441
[5]  
CASTRO M, 2003, P IPTPS BERK CA US F
[6]   A case for end system multicast [J].
Chu, YH ;
Rao, SG ;
Seshan, S ;
Zhang, H .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2002, 20 (08) :1456-1471
[7]   On the performance of error-resilient end-point-based multicast streaming [J].
Dan, Gyorgy ;
Chatzidrossos, Illias ;
Fodor, Viktoria ;
Karlsson, Gunnar .
2006 14TH IEEE INTERNATIONAL WORKSHOP ON QUALITY OF SERVICE, PROCEEDINGS, 2006, :160-+
[8]  
KALMAN M, 2006, THESIS STANFORD U ST
[9]   Stochastic fluid theory for P2P streaming systems [J].
Kumar, Rakesh ;
Liu, Yong ;
Ross, Keith .
INFOCOM 2007, VOLS 1-5, 2007, :919-+
[10]  
Liao X., 2006, P IEEE INFOCOM, P1