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Peer-Paired Collaboration for On-Demand Streaming Applications and an Improved Error Recovery Technique

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【作者】 郭常杰沈国斌李世鹏钟玉琢

【Author】 GUO Changjie **, SHEN Guobin , LI Shipeng , ZHONG Yuzhuo Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China;  Microsoft Research Asia, Sigma Center, 49 Zhichun Road, Haidian District, Beijing 100080, China

【机构】 Department of Computer Science and TechnologyTsinghua UniversityMicrosoft Research AsiaSigma CenterTsinghua University Beijing 100084China49 Zhichun RoadHaidian DistrictBeijing 100080Beijing 100084China

【Abstract】 Previous studies on streaming media networks have mainly focused on how to conserve the network bandwidth, especially the Internet backbone bandwidth, while maintaining a desired quality. This paper tackles the problem from another perspective, trying to improve the individual streaming quality while not increasing the backbone traffic. Specifically, we apply a peer-paired collaborative streaming architecture that exploits the power of peer-to-peer networking and extends the peer-paired collaboration from a live broadcasting scenario to the more general on-demand streaming scenario by introducing a unique catch-up scheme. Experimental results show that the peer-paired collaboration can bring about a significant performance gain for on-demand streaming application scenarios. In addition, we propose a forward error correction based error recovery technique that can resist up to 50% packet losses regardless of whether the losses are independent or shared.

  • 【文献出处】 Tsinghua Science and Technology ,清华大学学报(自然科学版英文版) , 编辑部邮箱 ,2003年06期
  • 【分类号】TN919.8
  • 【下载频次】24
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