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基于应用层组播的流媒体直播系统的设计与实现
引用本文:李玮,林予松,郭红方,王宗敏.基于应用层组播的流媒体直播系统的设计与实现[J].厦门大学学报(自然科学版),2007,46(A02):233-236.
作者姓名:李玮  林予松  郭红方  王宗敏
作者单位:郑州大学信息网络省重点学科开放实验室,河南郑州450052
基金项目:国家下一代互联网示范工程研究开发、产业化及应用试验项目(CNG14)4-13-2T),2006年河南省教育厅自然科学研究项目计划(2006520013)资助
摘    要:随着互联网网络带宽的不断提高,基于流媒体技术的视频应用越来越多,本文基于应用层组播思想,设计并实现了一个可支持大规模实时用户的流媒体应用层组播系统——MixCast.该系统采用双层架构,在大规模用户环境下具有良好的可扩展性;在转发树构造方面,采用了整体分层、局部集中的思想,结合最大链路带宽与最近网络拓扑策略进行节点选择,保证了构造的速度和可靠性;在转发树重构方面,通过链路预留技术和异常节点处理算法,有效地减少了节点失效后的重构时间.该系统支持IPV4/IPV6,通过测试,证明该系统占用的网络带宽和服务器资源较少,能够同时支持大规模用户,具有较高的实用价值.

关 键 词:应用层组播  流媒体  转发树构造  转发树重构
文章编号:0438-0479(2007)S2-0233-04
修稿时间:2007-08-20

Design and Implementation of ALM-based Streaming Media Living Broadcast System
LI Wei, LIN Yu-song , GUO Hong-fang, WANG Zong-min.Design and Implementation of ALM-based Streaming Media Living Broadcast System[J].Journal of Xiamen University(Natural Science),2007,46(A02):233-236.
Authors:LI Wei  LIN Yu-song  GUO Hong-fang  WANG Zong-min
Institution:Henan Provincial Key Lab on Information Networking , Zhengzhou University, Zhengzhou 450052, China
Abstract:With the improvement of the Intemet bandwidth, the video application based on streaming media technology is becoming more widespread. In this paper, a streaming media system-Mixcast based on the AIM technology is designed and implemented. The system which adopts two-layer architecture, has great scalability in the large -scale environment. As to multicast tree comtruction, the strategy combining with the Max-bandwidth and the Nearest network topology to select optimal nodes ensures the speed and reliability of comtruction. As to multicast tree recomtruction, the mechanism of link reservation and arithmetic of exceptional nodes processing reduce the time for recomtruction effectively. The system has been applied to IPV4 and IPV6. The actual test shows that the system, which consumes less network bandwidth and servers resources and supports large-scale consumers, has high practical value.
Keywords:application level multicast  streaming media  multicast tree construction  multicast tree reconstruction
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