A framework for QoS-aware traffic classification using semi-supervised machine learning in SDNs

Proceedings - 2016 IEEE International Conference on Services Computing, SCC 2016

Volumn , Issue , 2016, Pages 760-765

  Wang, Pu ^a   Lin, Shih Chun ^b   Luo, Min ^c  

^a WICHITA STATE UNIVERSITY   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^c HUAWEI TECHNOLOGIES CO LTD   (China)

Author keywords

QoS; SDN; Semi supervised; Traffic classification

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); CONTROLLERS; LEARNING SYSTEMS; PACKET NETWORKS; QUALITY OF SERVICE; SUPERVISED LEARNING;

CLASSIFICATION ACCURACY; CLASSIFICATION FRAMEWORK; COMMUNICATION COST; COMPUTATION CAPACITY; DEEP PACKET INSPECTION (DPI); SEMI-SUPERVISED; TRAFFIC CLASSIFICATION; TRAFFIC ENGINEERING;

TELECOMMUNICATION TRAFFIC;

EID: 84989914528     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SCC.2016.133     Document Type: Conference Paper

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