CDN-P2P混合架构下直播流媒体系统服务应急保障研究

计算机科学 ›› 2014, Vol. 41 ›› Issue (Z6): 466-471.

CDN-P2P混合架构下直播流媒体系统服务应急保障研究

王群,戴秀岳

浙江树人大学现代教育技术中心杭州310015;浙江树人大学现代教育技术中心杭州310015

出版日期:2018-11-14 发布日期:2018-11-14

Research on Service Contingency Guarantee in CDN-P2P Hybrid Architecture Based Live Streaming

WANG Qun and DAI Xiu-yue

Online:2018-11-14 Published:2018-11-14

摘要/Abstract

摘要： 直播流媒体系统能够为网络用户提供丰富的直播电视节目,是发展最快的网络应用之一。然而,普遍存在的启动时延大、播放不流畅等问题,严重制约直播流媒体系统服务质量的改善。从资源分配与调度的角度,给出了直播流媒体系统资源的调度原则,提出一种基于服务器资源的应急调度方案,提高网络资源的利用率和节目的体验质量。试验结果表明,服务应急保障机制可以显著降低直播流媒体系统的启动时延,并减少丢包率。

关键词: 直播流媒体系统,CDN-P2P,服务器资源调度,性能优化中图法分类号TP393文献标识码A

Abstract: Live streaming provides abundant television programs for end users,and has become one of the applications which promptly develop．However,common issues,including long startup delay and unsmooth play,severely restrict the improvement of quality of service in live streaming systems．From the allocation and scheduling of resource,the principle of resource scheduling for live streaming systems is presented,and service contingency guarantee scheme for server resource is proposed,which promote the utilization of network resource and the quality of experience．The experimental results shows service contingency guarantee scheme can significantly shorten the startup delay for live streaming systems and reduce the packet loss.

Key words: Live streaming,CDN-P2P,Scheduling of server resource,Performance optimization

王群,戴秀岳. CDN-P2P混合架构下直播流媒体系统服务应急保障研究[J]. 计算机科学, 2014, 41(Z6): 466-471. https://doi.org/

WANG Qun and DAI Xiu-yue. Research on Service Contingency Guarantee in CDN-P2P Hybrid Architecture Based Live Streaming[J]. Computer Science, 2014, 41(Z6): 466-471. https://doi.org/

参考文献

[1] Multimedia Research Group Inc．．http://www.mrgco.com/iptv/gf1210.html
[2] Skevik K A,Goebel V,Plagemann T．Design of a Hybrid CDN [C]∥2nd International Workshop on Multimedia Interactive Protocols and Systems．Grenoble,France,2004:206-217
[3] Liu Yu,Yin Hao,Zhu Guang-xi,et al．Peer-assisted content delivery network for live streaming:architecture and practice [C]∥International Conference on Networking,Architecture and Storage．Chongqing,China,2008:149-150
[4] Li Bo,Xie Su-su,Yang Qu,et al．Inside the New Coolstreaming:Principles,Measurements and Performance Implications [C]∥Proc．of IEEE INFOCOM．Phoenix,AZ,USA,2008:1031-1039
[5] Huang Yan,Fu T Z J,Chiu D-M,et al．Challenges,Design and Analysis of a Large-scale P2P-VoD System [C]∥Proc．of ACM SIGCOMM．Seattle,Washington,USA,2008:375-388
[6] Zhang Xin-yan,Liu Jiang-chuan,Li Bo,et al．CoolStreaming/DONet:A Data-Driven Overlay Network for Efficient Live Media Streaming [C]∥Proc．of IEEE INFOCOM．Miami,USA,2005:2102-2111
[7] Liao Xiao-fei,Jin Hai,Liu Yun-hao,et al．AnySee:Peer-to-Peer Live Streaming [C]∥Proc．of IEEE INFOCOM．Barcelona,Spain,2006:1-10
[8] Wang M,Li Bao-chun．R²:Random Push with Random Network Coding in Live Peer-to-Peer Streaming [J]．IEEE Journal on Selected Areas in Communications,2007,25(9):1655-1666
[9] Nguyen A T,Li Bao-chun,Eliassen F．Chameleon:AdaptivePeer-to-Peer Streaming with Network Coding [C]∥Proc．of IEEE INFOCOM．San Diego,CA,USA,2010:1-9
[10] Zhou Yi-peng,Chiu D-M,Lui J C S．A Simple Model for Chunk-Scheduling Strategies in P2P Streaming [J]．IEEE/ACM Tran-sactions on Networking,2011,19(1):42-54
[11] Yang Yan,Chow A L H,Golubchik L,et al．Improving QoS in BitTorrent-like VoD Systems [C]∥Proc．of IEEE INFOCOM．San Diego,CA,USA,2010:2061-2069
[12] Peer-to-Peer Streaming Simulator ．http://media.cs.tsinghua.edu.cn/~zhangm/download/
[13] Magharei N,Rejaie R．PRIME:Peer-to-Peer Receiver-DrivenMesh-Based Streaming [J]．IEEE/ACM Transactions on networking,2009,17(4):1052-1065
[14] Wu Di,Liang Chao,Liu Yong,et al.View-Upload Decoupling:A Redesign of Multi-Channel P2P Video Systems [C]∥Proc．of IEEE INFOCOM．Rio de Janeiro,Brazil,2009:2726-2730

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