P2P流媒体系统中层次化网络拓扑推断技术的研究
雍兴辉;黄永峰
清华大学电子工程系，北京 100084
Network Topology Hierarchy Inference on P2P Media Streaming System
YONG Xing-hui, HUANG Yong-feng
Electronic Engineering Department, Tsinghua University, Beijing 100084, China
摘要 目前基于P2P技术的应用已经远远超过了传统互联网应用，成为占用互联网带宽最多的网络应用. 因此，如何减少P2P应用、特别是P2P流媒体播放系统对骨干网带宽的过度消耗，成为P2P技术中一个急需解决的问题.本文提出利用一种基于网络断层扫描的分层推断方法，以将P2P流媒体系统中的流量限制在较小的网络范围内，从而减少跨网流量、同网之间的骨干网带宽消耗，缓解网络拥塞.在OPNET上的仿真表明，该方法能够适应P2P流媒体的高动态性，有效降低跨网流量以及对骨干网的带宽消耗速度.
关键词 ：
P2P ,
流媒体系统 ,
网络断层扫描 ,
拓扑推断
Abstract ：Currently, P2P-based applications, prevailing over internet, become one of the greatest internet network-bandwidth consumers. So, It's indispensable to reduce the network bandwidth consume of P2P application, especially of P2P media streaming. This paper proposes a fast-inferring method based on network tomography in order to limit the traffic in smaller network, to decrease network-cross traffic and backbone network-bandwidth consume internally, and to suppress the congestions. The simulation shows that such technique can adapt the high dynamics of P2P media streaming system, and effectively slow down the network-cross traffic and backbone network-bandwidth consume.
Key words ：
P2P
media streaming system
network tomography
topology inference
收稿日期: 2008-09-28
通讯作者:
雍兴辉
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2010, Vol. 38 
