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A Packet Processing of Handling Large-capacity Traffic over 20Gbps Method Using Multi Core and Huge Page Memory Approache

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2021, 26(6), pp.73-80
  • DOI : 10.9708/jksci.2021.26.06.073
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : June 10, 2021
  • Accepted : June 28, 2021
  • Published : June 30, 2021

YoungSun Kwon 1 Byuong-Chan Park 1 HOON CHANG 1

1숭실대학교

Accredited

ABSTRACT

In this paper, we propose a packet processing method capable of handling large-capacity traffic over 20Gbps using multi-core and huge page memory approaches. As ICT technology advances, the global average monthly traffic is expected to reach 396 exabytes by 2022. With the increase in network traffic, cyber threats are also increasing, increasing the importance of traffic analysis. Traffic analyzed as an existing high-cost foreign product simply stores statistical data and visually shows it. Network administrators introduce and analyze many traffic analysis systems to analyze traffic in various sections, but they cannot check the aggregated traffic of the entire network. In addition, since most of the existing equipment is of the 10Gbps class, it cannot handle the increasing traffic every year at a fast speed. In this paper, as a method of processing large-capacity traffic over 20Gbps, the process of processing raw packets without copying from single-core and basic SMA memory approaches to high-performance packet reception, packet detection, and statistics using multi-core and NUMA memory approaches suggest When using the proposed method, it was confirmed that more than 50% of the traffic was processed compared to the existing equipment.

Citation status

* References for papers published after 2022 are currently being built.

This paper was written with support from the National Research Foundation of Korea.