摘要
为检测和控制高速网络中的P2P流量,提出了PM模型,它采用特征码匹配方法精确识别P2P数据包,并依概率对识别出的数据包进行随机丢弃以控制P2P流量,同时,采用高性能三态内容寻址器件满足了对吉比特链路进行线速检测的要求.在不同流量条件下,使用OPNET平台对模型的流量控制效果进行了仿真,结果表明,该模型可有效控制P2P流量,并改善非P2P应用的QoS.
For the purpose of peer-to-peer (P2P) detection and control, a model named P2P traffic control model (PM) was presented, with the model P2P packets can be identified accurately by signature matching and the P2P traffic can be controlled by discarding P2P packets randomly. In addition, PM can detect the traffic at gigabits rate through ternary content addressable memory. With different network's workloads, the simulations based on OPNET platform have been done and show that PM can control the P2P traffic effectively and improve the quality of service (QoS) of non-P2P applications.
出处
《北京邮电大学学报》
EI
CAS
CSCD
北大核心
2007年第5期117-120,共4页
Journal of Beijing University of Posts and Telecommunications
基金
国家自然科学基金项目(90604019
605020376
0603060
60472067)
国家"863计划"项目(2006AA01Z235)
国家"973计划"项目(2006CB701306
2003CB314806)
CNGI项目(CNGI-04-8-1D)