Telecommunications Science ›› 2020, Vol. 36 ›› Issue (4): 74-82.doi: 10.11959/j.issn.1000-0801.2020117

• Research and Development • Previous Articles     Next Articles

Accuracy analysis on access hyper-point real-time detection algorithms in high-speed network

Haiqing YU,Wei DING,Jie XU   

  1. School of Cyber Science and Engineering,Southeast University,Nanjing 211189,China
  • Revised:2020-03-18 Online:2020-04-20 Published:2020-04-24
  • Supported by:
    The National Key Research and Development Project(2018YFB1800200)

Abstract:

Real-time access hyper-point helps managers better control the network.Under high-speed network conditions,the difficulty in accessing hyper-point detection lies in the pressure exerted by large traffic on computing.Based on the 40 Gbit/s bandwidth network environment,from the perspective of accuracy analysis,the flow record statistics algorithm and the estimation-based superpoint detection algorithm were compared.The flow record statistical algorithm was improved by the threshold model based on heavy-tailed distribution.The estimation-based superpoint detection algorithm was implemented in the GPU environment by SRLA.The research results show that the estimation-based hyper-point detection algorithm which has obviously higher accuracy and more room for improvement is more suitable for real-time detection of hyper-point in high-speed network than the flow record statistical algorithm.

Key words: access hyper-point, network management, estimation accuracy, high speed network

CLC Number: 

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