Poster abstract: EdgeEye: Fine grained traffic visibility at wireless network edge

Proceedings - 1st IEEE/ACM Symposium on Edge Computing, SEC 2016

Volumn , Issue , 2016, Pages 111-112

  Uddin, Mostafa ^a   Mustafa, Ibrahim Ben ^b   Nadeem, Tamer ^b  

^a LUCENT TECHNOLOGIES   (United States)

^b OLD DOMINION UNIVERSITY   (United States)

Author keywords

Edge computing; Software defined networks; Traffic awareness; Wireless

Indexed keywords

BANDWIDTH; RADIO; SOFTWARE DEFINED NETWORKING; VISIBILITY;

CONTROL CAPABILITIES; DIVERSE APPLICATIONS; EDGE COMPUTING; HIGH-BANDWIDTH APPLICATION; NETWORK APPLICATIONS; NETWORK MANAGEMENT AND CONTROL; REAL-TIME APPLICATION; TRAFFIC AWARENESS;

WIRELESS NETWORKS;

EID: 85010733401     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SEC.2016.40     Document Type: Conference Paper

References (5)

1. Open vSwitch. http://openvswitch.org/
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4. T. T. Nguyen and G. Armitage. A survey of techniques for internet traffic classification using machine learning. IEEE Communications Surveys and Tutorials, 2008
5. Y. Wang et al. Machine Learned Real-Time Traffic Classifiers. IEEE Intelligent Information Technology Applications, 2008