HIGH SPEED SELF-STUDY PACKET CLASSIFICATION METHOD FOR TRAFFIC MEASUREMENT ON IP BACKBONE

摘要：

Packet classification is critical for applications such as traffic measurement, intrusion detection, and differentiated services. In most of existing methods, software has to participate in the procedure of classification information modification, which will degrade the performance of the system. In this paper, methods without software assistingare studied and a novel high speed packet classification method is proposed, which is especially suitable for traffic measurement systems. For the consideration of performance, TCAM and SRAM are widely used. Real link database from CAIDA is used to test the method and the results show that the system has the ability to process packets correctly when link speed is as high as 10Gbps. The method has been implemented at the T-Tester platform, which is capable of the measurement for OC192 link.

关键词： Self-study Packet Classification Measurement

作者: Hongtao Guan Jianping Wu Youjian Zhao Zhenhua Liu Xiaoping Zhang

作者单位: Department of Computer Science & Technology Tsinghua University,Beijing 100084, China Department of Computer Science & Technology Tsinghua University, Beijing 100084, China

会议类型: 国际会议

会议名称: China-Ireland International Conference on Information and Communications Technologies 2008(2008 中国-爱尔兰信息与通信技术国际会议 CIICT 2008)

会议地点: 北京

会议语种:英文

页码: 1-5

在线出版日期: 2008-09-26（万方平台首次上网日期，不代表论文的发表时间）