A classification-based elephant flow detection method using application round on SDN environments

Yuan Hao Huang*, Wen-Yueh Shih, Jiun-Long Huang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

We propose in this paper a classification-based elephant flow detection method for SDN environments. The proposed elephant flow detection method consists of two classifiers running on the switch and the controller, respectively. For better performance, the concept of application round is used to build the classifier running on the controller. Experimental results show that our elephant flow detection method is able to obtain high recall and F-measure.

Original languageEnglish
Title of host publication19th Asia-Pacific Network Operations and Management Symposium
Subtitle of host publicationManaging a World of Things, APNOMS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages231-234
Number of pages4
ISBN (Electronic)9781538611012
DOIs
StatePublished - Sep 2017
Event19th Asia-Pacific Network Operations and Management Symposium, APNOMS 2017 - Seoul, Korea, Republic of
Duration: 27 Sep 201729 Sep 2017

Publication series

Name19th Asia-Pacific Network Operations and Management Symposium: Managing a World of Things, APNOMS 2017

Conference

Conference19th Asia-Pacific Network Operations and Management Symposium, APNOMS 2017
CountryKorea, Republic of
CitySeoul
Period27/09/1729/09/17

Keywords

  • Elephant flow detection
  • SDN
  • Software-Defined Networking

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