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Wire-Speed Statistical Classification of Network Traffic on Commodity Hardware

Abstract : In this paper we present a software-based traffic classification engine running on commodity multi-core hardware, able to process in real-time aggregates of up to 14.2 Mpps over a single 10 Gbps interface – i.e., the maximum possible packet rate over a 10 Gbps Ethernet links given the minimum frame size of 64 Bytes. This significant advance with respect to the current state of the art in terms of achieved classification rates are made possible by: (i) the use of an improved network driver, PacketShader, to efficiently move batches of packets from the NIC to the main CPU; (ii) the use of lightweight statistical classification techniques exploiting the size of the first few packets of every observed flow; (iii) a careful tuning of critical parameters of the hardware environment and the software application itself.
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Submitted on : Monday, March 4, 2013 - 10:19:13 AM
Last modification on : Tuesday, May 3, 2022 - 6:18:18 PM


  • HAL Id : hal-00796421, version 1


Pedro Maria Santiago del Rio, D. Rossi, Francesco Gringoli, Lorenzo Nava, Luca Salgarelli, et al.. Wire-Speed Statistical Classification of Network Traffic on Commodity Hardware. ACM SIGCOMM Internet Measurement Conference (IMC), Nov 2012, Boston, United States. pp.65-72. ⟨hal-00796421⟩



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