TOBAB: a trend-oriented bandwidth adaptive buffering in peer-to-peer streaming system

Authors:
Sirui Yang;Hai Jin;Xuping Tu
Affiliations:
Cluster and Grid Computing Lab, Huazhong University of Science and Technology, Wuhan, China;Cluster and Grid Computing Lab, Huazhong University of Science and Technology, Wuhan, China;Cluster and Grid Computing Lab, Huazhong University of Science and Technology, Wuhan, China
Venue:
ATC'06 Proceedings of the Third international conference on Autonomic and Trusted Computing
Year:
2006

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Abstract

Multimedia streaming application is increasingly popular. P2P mode makes it much more suitable for large-scale users to participate into one single application. However, most effort is spent on issues such as overlay construction and content delivery. As a foundational aspect in P2P-based multimedia systems, buffer management needs more exploration and traditional measures should be refined. In this paper, a bandwidth adaptive buffer exchange strategy is proposed, which is similar to the slow start process in TCP protocol. A novel algorithm is applied in a live media streaming system, called Anysee, and has been proven resilient to the bandwidth fluctuation in P2P networks.