TY - JOUR
T1 - StatStream
T2 - Providing statistical reliability guarantees in peer-to-peer live video streaming
AU - Raghuveer, Aravindan
AU - Dong, Yingfei
AU - Du, David H.C.
PY - 2010
Y1 - 2010
N2 - Although many large-scale P2P streaming techniques have been proposed, ensuring video reliability remains a challenging issue. We present a P2P streaming framework called StatStream that provides statistical guarantees on video quality and stability. We first propose a model to quantify video quality and stability. We then develop graph construction algorithms that ensure statistical guarantee on video quality at every peer. A key advantage of the proposed approach is that video quality and stability can be explicitly controlled. Simulations show that the proposed algorithms use the server resources efficiently while significantly improving the video stability at peers.
AB - Although many large-scale P2P streaming techniques have been proposed, ensuring video reliability remains a challenging issue. We present a P2P streaming framework called StatStream that provides statistical guarantees on video quality and stability. We first propose a model to quantify video quality and stability. We then develop graph construction algorithms that ensure statistical guarantee on video quality at every peer. A key advantage of the proposed approach is that video quality and stability can be explicitly controlled. Simulations show that the proposed algorithms use the server resources efficiently while significantly improving the video stability at peers.
KW - Peer to peer streaming
KW - Streaming reliability
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U2 - 10.1504/IJAMC.2010.030004
DO - 10.1504/IJAMC.2010.030004
M3 - Article
AN - SCOPUS:79954617312
SN - 1462-4613
VL - 4
SP - 4
EP - 30
JO - International Journal of Advanced Media and Communication
JF - International Journal of Advanced Media and Communication
IS - 1
ER -