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2007 International Conference on Parallel Processing (ICPP 2007)
Towards Optimized Packet Classification Algorithms for Multi-Core Network Processors
Xi'an, China
September 10-September 14
ISBN: 0-7695-2933-X
Yaxuan Qi, Tsinghua University, China; Tsinghua National Lab for Information Science and Technology, China
Bo Xu, Tsinghua University, China
Fei He, Tsinghua University, China
Xin Zhou, Tsinghua University, China
Jianming Yu, Tsinghua University, China
Jun Li, Tsinghua University, China; Tsinghua National Lab for Information Science and Technology, China
In this paper, a novel packet classification scheme optimized for multi-core network processors is proposed. The algorithm, Explicit Cuttings (ExpCuts), adopts a hierarchical space aggregation technique to significantly reduce the memory usage. Consequently, without burst of memory usages, the time-consuming linear search in the conventional decision-tree based packet classification algorithms is eliminated, and an explicit worst-case search time is achieved. To evaluate the performance of ExpCuts, we implement the algorithm, as well as HiCuts and HSM, on the Intel IXP2850 network processor. Experimental results show that ExpCuts outperforms the existing best-known algorithms in terms of memory usage and classification speed.
Citation:
Yaxuan Qi, Bo Xu, Fei He, Xin Zhou, Jianming Yu, Jun Li, "Towards Optimized Packet Classification Algorithms for Multi-Core Network Processors," icpp, pp.2, 2007 International Conference on Parallel Processing (ICPP 2007), 2007
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