TY - GEN
T1 - A classification-based elephant flow detection method using application round on SDN environments
AU - Huang, Yuan Hao
AU - Shih, Wen-Yueh
AU - Huang, Jiun-Long
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/9
Y1 - 2017/9
N2 - 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.
AB - 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.
KW - Elephant flow detection
KW - SDN
KW - Software-Defined Networking
UR - http://www.scopus.com/inward/record.url?scp=85040579381&partnerID=8YFLogxK
U2 - 10.1109/APNOMS.2017.8094140
DO - 10.1109/APNOMS.2017.8094140
M3 - Conference contribution
AN - SCOPUS:85040579381
T3 - 19th Asia-Pacific Network Operations and Management Symposium: Managing a World of Things, APNOMS 2017
SP - 231
EP - 234
BT - 19th Asia-Pacific Network Operations and Management Symposium
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th Asia-Pacific Network Operations and Management Symposium, APNOMS 2017
Y2 - 27 September 2017 through 29 September 2017
ER -