FBSA: a self-adjustable multi-source data scheduling algorithm for P2P media streaming

Authors:
Shuangjia Chen;Longshe Huo;Qiang Fu;Rui Guo;Wen Gao
Affiliations:
Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China and Graduate School, Chinese Academy of Sciences, Beijing, China;Institute of Digital Media, Peking University, Beijing, China;Institute of Digital Media, Peking University, Beijing, China;Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China and Graduate School, Chinese Academy of Sciences, Beijing, China;Institute of Digital Media, Peking University, Beijing, China
Venue:
MCAM'07 Proceedings of the 2007 international conference on Multimedia content analysis and mining
Year:
2007

Citing 6
Cited 0

A case for end system multicast (keynote address)

Proceedings of the 2000 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Introduction to Algorithms

Introduction to Algorithms
Transience of peers & streaming media

ACM SIGCOMM Computer Communication Review
PROMISE: peer-to-peer media streaming using CollectCast

MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Source vs Data-driven Approach for Live P2P Streaming

ICNICONSMCL '06 Proceedings of the International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies
Chainsaw: eliminating trees from overlay multicast

IPTPS'05 Proceedings of the 4th international conference on Peer-to-Peer Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Recently, there is great interest of using P2P network in multisource media streaming. In this paper, we present a self-adjustable scheduling algorithm for multi-source P2P media streaming, called feedback based scheduling algorithm (FBSA). FBSA is simple to implement, fully distributed, asynchronous, and can afford better quality of service. Furthermore, it can adjust itself automatically to adapt network heterogeneity, load variety, bandwidth fluctuation, and overlay dynamics. We have implemented FBSA, and tested it in a P2P live media streaming system: AVStreamer. Experimental results show that FBSA outperforms other conventional P2P data scheduling algorithms, especially in heterogeneous networks.