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Sponsored by the Center for Science and Technology Development of the Ministry of Education
Supervised by Ministry of Education of the People's Republic of China
With the increasing popularity of Internet and new network applications, there has been a great concern on how to classify packets rapidly and accurately. In this paper we propose a Hash Multi-fields Packet Classification (HMPC) algorithm based on dimension decomposition. This algorithm maps the fields of the packet to the rule table through a single step, and then it combines the multi-fields mapping results via hash method. The HMPC algorithm can drastically improve space and time performance by adjusting the hash table structure design. The experimental results show that the space consumption of HMPC algorithm is 53% and 12% lower than Recursive Flow Classification (RFC) and Hierarchical Space Mapping (HSM) algorithms respectively, while maintaining a similar time performance with HSM.