TY - GEN
T1 - Understanding sub-stream scheduling in P2P hybrid live streaming systems
AU - Li, Zhenjiang
AU - Tsang, Danny H.K.
AU - Lee, Wang Chien
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=77953315724&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77953315724&partnerID=8YFLogxK
U2 - 10.1109/INFCOM.2010.5462227
DO - 10.1109/INFCOM.2010.5462227
M3 - Conference contribution
AN - SCOPUS:77953315724
SN - 9781424458363
T3 - Proceedings - IEEE INFOCOM
BT - 2010 Proceedings IEEE INFOCOM
T2 - IEEE INFOCOM 2010
Y2 - 14 March 2010 through 19 March 2010
ER -