The Experts below are selected from a list of 2373 Experts worldwide ranked by ideXlab platform
Javier Aracil - One of the best experts on this subject based on the ideXlab platform.
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wire speed statistical classification of network traffic on commodity hardware
Internet Measurement Conference, 2012Co-Authors: Pedro Santiago M Del Rio, Dario Rossi, Francesco Gringoli, Lorenzo Nava, Luca Salgarelli, Javier AracilAbstract: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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Internet Measurement Conference - Wire-speed statistical classification of network traffic on commodity hardware
Proceedings of the 2012 ACM conference on Internet measurement conference - IMC '12, 2012Co-Authors: Pedro M. Santiago Del Río, Dario Rossi, Francesco Gringoli, Lorenzo Nava, Luca Salgarelli, Javier AracilAbstract: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.
Dario Rossi - One of the best experts on this subject based on the ideXlab platform.
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wire speed statistical classification of network traffic on commodity hardware
Internet Measurement Conference, 2012Co-Authors: Pedro Santiago M Del Rio, Dario Rossi, Francesco Gringoli, Lorenzo Nava, Luca Salgarelli, Javier AracilAbstract: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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Internet Measurement Conference - Wire-speed statistical classification of network traffic on commodity hardware
Proceedings of the 2012 ACM conference on Internet measurement conference - IMC '12, 2012Co-Authors: Pedro M. Santiago Del Río, Dario Rossi, Francesco Gringoli, Lorenzo Nava, Luca Salgarelli, Javier AracilAbstract: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.
Francesco Gringoli - One of the best experts on this subject based on the ideXlab platform.
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wire speed statistical classification of network traffic on commodity hardware
Internet Measurement Conference, 2012Co-Authors: Pedro Santiago M Del Rio, Dario Rossi, Francesco Gringoli, Lorenzo Nava, Luca Salgarelli, Javier AracilAbstract: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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Internet Measurement Conference - Wire-speed statistical classification of network traffic on commodity hardware
Proceedings of the 2012 ACM conference on Internet measurement conference - IMC '12, 2012Co-Authors: Pedro M. Santiago Del Río, Dario Rossi, Francesco Gringoli, Lorenzo Nava, Luca Salgarelli, Javier AracilAbstract: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.
Lorenzo Nava - One of the best experts on this subject based on the ideXlab platform.
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wire speed statistical classification of network traffic on commodity hardware
Internet Measurement Conference, 2012Co-Authors: Pedro Santiago M Del Rio, Dario Rossi, Francesco Gringoli, Lorenzo Nava, Luca Salgarelli, Javier AracilAbstract: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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Internet Measurement Conference - Wire-speed statistical classification of network traffic on commodity hardware
Proceedings of the 2012 ACM conference on Internet measurement conference - IMC '12, 2012Co-Authors: Pedro M. Santiago Del Río, Dario Rossi, Francesco Gringoli, Lorenzo Nava, Luca Salgarelli, Javier AracilAbstract: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.
Luca Salgarelli - One of the best experts on this subject based on the ideXlab platform.
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wire speed statistical classification of network traffic on commodity hardware
Internet Measurement Conference, 2012Co-Authors: Pedro Santiago M Del Rio, Dario Rossi, Francesco Gringoli, Lorenzo Nava, Luca Salgarelli, Javier AracilAbstract: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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Internet Measurement Conference - Wire-speed statistical classification of network traffic on commodity hardware
Proceedings of the 2012 ACM conference on Internet measurement conference - IMC '12, 2012Co-Authors: Pedro M. Santiago Del Río, Dario Rossi, Francesco Gringoli, Lorenzo Nava, Luca Salgarelli, Javier AracilAbstract: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.
