Traffic Classification over Gbit Speed with Commodity Hardware

  title={Traffic Classification over Gbit Speed with Commodity Hardware},
  author={G{\'e}za Szab{\'o} and Istv{\'a}n G{\'o}dor and Andras Veres and Szabolcs Malomsoky and S. Molnar},
This paper discusses necessary components of a GPU-assisted traffic classification method, which is capable of multi-Gbps speeds on commodity hardware. The majority of the traffic classification is pushed to the GPU to offload the CPU, which then may serve other processing intensive tasks, e.g., traffic capture. The paper presents two massively parallelizable algorithms suitable for GPUs. The first one performs signature search using a modification of Zobrist hashing. The second algorithm… CONTINUE READING
Highly Cited
This paper has 36 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 15 extracted citations


Publications referenced by this paper.
Showing 1-10 of 23 references

Parallel prefix sum (scan) with cuda

  • M. Harris, S. Sengupta, J. D. Owens
  • Hubert Nguyen, editor, GPU Gems 3, Aug 2007.
  • 2007
Highly Influential
4 Excerpts

Similar Papers

Loading similar papers…