AM-Trie: An OC-192 Parallel Multidimensional Packet Classification Algorithm

摘要

Nowadays, many high-speed Internet services and applications require high-speed multidimensional packet classification, but current high-speed classification often use expensive and power-slurping hardware (such as TCAM and FPGA). In this paper, we presented a novel algorithm, called AM-Trie (Asymmetrical Multi-bit Trie). Our algorithm creatively use redundant expression to reduce the height of Trie; use compression to reduce the storage cost and eliminate the trace back to enhance the search speed further. Moreover, AM-Trie is a parallel algorithm and very fit for the "multi-thread and multi-core" features of Network Processor; it has good scalability, the increase of policy number influences little to its performance. A heuristic field division algorithm is also presented, we proved in theoretical that there exists a minimum storage cost dividing solution when the height of the AM-Tire is given. Finally, a prototype is implemented based on Intel IXP2800 Network Processor. The performance testing result proves that AM-Trie is high-speed and scalable, the throughput of the TCP/IP 6-tuple classification achieves OC-192 (10 Gbps, 64 bytes per packet, i.e.20 Mpps) wire-speed in all situations.