| Peer-Paired Collaboration for On-Demand Streaming Applications and an Improved Error Recovery Technique |
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| 作者姓名： | 郭常杰 沈国斌 李世鹏 钟玉琢 |
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| 作者单位： | [1]DepartmentofComputerScienceandTechnology,TsinghuaUniversity,Beijing100084,China [2]MicrosoftResearchAsia,SigmaCenter,49ZhichunRoad,HaidianDistrict,Beijing100080,China |
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| 摘 要： | 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.
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| 关 键 词： | 流媒体 网络带宽 错误修复技术 互联网 FEC |
Peer-Paired Collaboration for On-Demand Streaming Applications and an Improved Error Recovery Technique |
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| 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. |
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| Keywords: | streaming media peer-paired collaboration on-demand forward error correction (FEC) |
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