由于具有较高应对节点动态性的能力和较强的扩展性,Mesh-Pull P2P流媒体直播分发方法赢得了学术界和工业界的广泛青睐。提出了传统互联网单码流场景下Mesh-Pull P2P流媒体直播的数据调度算法。该算法采用TOPSIS方法来解决调度算法中数据块优先级的量化这一多属性决策问题,以降低节点的启动延迟。仿真实验表明,本算法可以在保证高视频播放质量的情况下降低用户观看视频的延迟。
Due to the higher ability to cope with node dynamics and strong scalability, Mesh-Pull P2P live streaming distribution method won academia and industry for most cities. In this paper, a chunk scheduling algorithm in the traditional single-rate environment is proposed. The algorithm uses TOP- SIS methods to solve scheduling priority data block quantify this multi-attribute decision making problems to reduce the startup delay nodes. Simulation results show that the scheduling algorithm could improve the delay performance under the guarantee of high quality video.