NATRA: Network ACK-Based Traffic Reduction Algorithm

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Date
2020Version
Acceso abierto / Sarbide irekia
Type
Artículo / Artikulua
Version
Versión publicada / Argitaratu den bertsioa
Project Identifier
ES/1PE/TEC2015-69417
Impact
|
10.1109/ACCESS.2020.2997669
Abstract
Traffic monitoring involves packet capturing and processing at a very high rate of packets per second. Typically, flow records are generated from the packet traffic, such as TCP flow records that feature the number of bytes and packets in each direction, flow duration, number of different ports, and other metrics. Delivering such flow records, about network traffic flowing at tens of Gbps is rath ...
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Traffic monitoring involves packet capturing and processing at a very high rate of packets per second. Typically, flow records are generated from the packet traffic, such as TCP flow records that feature the number of bytes and packets in each direction, flow duration, number of different ports, and other metrics. Delivering such flow records, about network traffic flowing at tens of Gbps is rather challenging in terms of processing power. To address this problem, traffic thinning can be applied to reduce the input load, by swiftly discarding useless packets at the sniffer NIC or driver level, which effectively reduces the load on software layers that handle traffic processing. This work proposes an algorithm that drops empty ACK packets from TCP traffic, thus achieving a significant reduction in the packets per second that must be handled by each traffic module. The tests discussed below show that the algorithm achieves a 25% decrease in the packets per second rate with minimal information loss. [--]
Publisher
IEEE
Published in
IEEE Access, 2020, 8, 151229-151241
Departament
Universidad Pública de Navarra. Departamento de Ingeniería Eléctrica, Electrónica y de Comunicación /
Nafarroako Unibertsitate Publikoa. Ingeniaritza Elektriko, Elektroniko eta Telekomunikazio Saila
Publisher version
Sponsorship
This work was supported by the Spanish Ministry of Economy and Competitiveness and the European Regional Development Fund through the projects TRAFICA under Grant MINECO/FEDER TEC2015-69417-C2-1-R and Procesado Inteligente de Tráfico under Grant MINECO/FEDER TEC2015-69417-C2-2-R.