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The research on metrics for network performance evaluation

  • Dong Yan Zhang*
  • , Ming Zeng Hu
  • , Hong L.I. Zhang
  • , Ting Biao Kang
  • *Corresponding author for this work
  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

To reflect network performance effectively and detect the abnormal conditions, two evaluation metrics are proposed which are relative performance metric (RPM) and synthetically relative performance metric (SRPM). The metrics eliminate periodic factors and reflect the performance of the current network in comparison with that at the same time of the former period. They are sensitive to the changes of network performance, such as, attacking the system and certain troubles, so the metric could be used to protect us from being hacked. At last, they are validated through the measurement on the LAN. Experiments have proved that they are effective in practical application.

Original languageEnglish
Title of host publication2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005
Pages1127-1131
Number of pages5
StatePublished - 2005
EventInternational Conference on Machine Learning and Cybernetics, ICMLC 2005 - Guangzhou, China
Duration: 18 Aug 200521 Aug 2005

Publication series

Name2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005

Conference

ConferenceInternational Conference on Machine Learning and Cybernetics, ICMLC 2005
Country/TerritoryChina
CityGuangzhou
Period18/08/0521/08/05

Keywords

  • Abnormal data
  • Network measurement
  • Performance
  • Performance metric

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