期刊文献+

基于数据累积的P2P流媒体自适应数据调度 被引量:1

Data accumulation based adaptive data scheduling algorithm for P2P media streaming
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摘要 综合考虑数据回放的紧迫性和数据分布的有效性,尝试将贪婪算法和最少优先算法结合起来,提出了一种基于数据累积的自适应数据调度算法.以数据在本地缓存的累积量为平衡因子,动态调节数据选择的权重,从而可在维持接收节点较高的播放质量水平的同时,改善数据在系统的分布度.仿真实验表明在多种实验参数条件下该调度算法均具有较好的性能. 综合考虑数据回放的紧迫性和数据分布的有效性,尝试将贪婪算法和最少优先算法结合起来,提出了一种基于数据累积的自适应数据调度算法.以数据在本地缓存的累积量为平衡因子,动态调节数据选择的权重,从而可在维持接收节点较高的播放质量水平的同时,改善数据在系统的分布度.仿真实验表明在多种实验参数条件下该调度算法均具有较好的性能.
出处 《华中科技大学学报(自然科学版)》 EI CAS CSCD 北大核心 2011年第S1期83-86,共4页 Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金 国家自然科学基金资助项目(610773011) 国家高技术研究发展计划资助项目(2009AA01A131 2009AA01Z108)
关键词 P2P流媒体 数据调度算法 数据累积 平衡因子 自适应 P2P streaming data scheduling algorithm data accumulation balance factor adaptive
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参考文献10

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同被引文献7

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  • 4Yashiro Daisuke, Tian, Dapeng, Yakoh, Takahiro. End-to-End Flow Control for Visual-Haptic Communication in the Presence of Bandwidth Change [C]. Electronics And Communications in Japan,2013,11(96):26-34.
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  • 7刘国英,章云,陈泓屺.H.264视频码流自适应传输的研究与实现[J].广东工业大学学报,2013,30(4):83-87. 被引量:4

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