Abstract—P2P technologies have been popularly adopted for
large-scale applications of content distribution, including file
sharing, video on demand and live television, for its advantages
in system scalability and deployment efficiency. To further
improve the distribution effectiveness of application-layer
multicast overlay constructed by P2P technologies, in current
years several types of overlay optimization approaches were
proposed by focusing on different criteria such as end-to-end
delay and bandwidth cost of content server. In this study, we
integrate two general criteria of overlay optimization:
end-to-end delay and uplink bandwidth, into single parametric
criterion named adaptive scoring function. This function is
designed from user’s perspective of P2P streaming application.
Based on the adaptive scoring function, we propose a distributed
adaptive overlay optimization approach. Compared with
optimization approaches based on other criteria including
tree-cost, root-delay, and uplink bandwidth, the experiment
results show that the proposed approach significantly reduces
end-to-end delay without sacrificing streaming quality, more
feasible for P2P streaming applications based on tree-based
overlay.
Index Terms—Peer-to-peer streaming, tree-based overlay,
end-to-end delay, overlay optimization.
Ming-Hung Hsu, Tai-Hua Hsiao, and Yu-Ben Miao are with the
Information and Communication Research Labs, Industrial Technology
Research Institute, Taiwan 310 R.O.C. (e-mail: mhhsu@itri.org.tw;
taihua@itri.org.tw; miao@itri.org.tw)
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Cite:Ming-Hung Hsu, Tai-Hua Hsiao, and Yu-Ben Miao, "An Adaptive Approach to Optimize Tree-Based Overlay for P2P Streaming," Journal of Advances in Computer Networks vol. 1, no. 1, pp. 18-22, 2013.
