DocumentCode :
2336570
Title :
Understanding Sub-stream Scheduling in P2P Hybrid Live Streaming Systems
Author :
Li, Zhenjiang ; Tsang, Danny H K ; Lee, Wang-Chien
Author_Institution :
Hong Kong Univ. of Sci. & Technol., Hong Kong, China
fYear :
2010
fDate :
14-19 March 2010
Firstpage :
1
Lastpage :
5
Abstract :
The P2P pull-push hybrid architecture has achieved great success in delivering live video traffic over the Internet. However, a formal study on the sub-stream scheduling problem, a key design issue in hybrid systems, is still lacking. In this paper, we propose a max-flow model for mathematical analysis of this problem. We find that the sub-stream scheduling schemes used in existing hybrid systems, including CoolStreaming+, GridMedia and LStreaming, individually solve one special case of the proposed max-flow model. Moreover, this model can also serve as a benchmark to assess the performance of these existing sub-stream scheduling schemes. Further, we propose a weighted max-flow scheme to address the issue of peer heterogeneity in scheduling sub-streams. Finally, we point out the benefits of combining the hybrid streaming architecture and layered coding, and we also investigate how to schedule sub-streams in hybrid layered streaming systems.
Keywords :
Internet; media streaming; peer-to-peer computing; telecommunication traffic; CoolStreaming+; GridMedia; Internet; LStreaming; P2P hybrid live streaming systems; hybrid layered streaming systems; mathematical analysis; substream scheduling schemes; video traffic; Communications Society; Internet; Mathematical analysis; Mathematical model; Performance analysis; Robustness; Scheduling; Streaming media; Throughput; Traffic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
INFOCOM, 2010 Proceedings IEEE
Conference_Location :
San Diego, CA
ISSN :
0743-166X
Print_ISBN :
978-1-4244-5836-3
Type :
conf
DOI :
10.1109/INFCOM.2010.5462227
Filename :
5462227
Link To Document :
بازگشت