Traffic engineering framework with machine learning based meta-layer in software-defined networks

Proceedings of 2014 4th IEEE International Conference on Network Infrastructure and Digital Content, IEEE IC-NIDC 2014

Volumn , Issue , 2014, Pages 121-125

  Li, Yanjun ^a   Li, Xiaobo ^a   Yoshie, Osamu ^a  

^a WASEDA UNIVERSITY   (Japan)

Author keywords

machine learning; meta layer; routing; software defined networks; traffic engineering

Indexed keywords

COMPUTATIONAL COMPLEXITY; DYNAMIC ROUTING ALGORITHMS; HEURISTIC ALGORITHMS; HEURISTIC METHODS; MEMORY ARCHITECTURE; NETWORK ARCHITECTURE; SOFTWARE DEFINED NETWORKING; SUPERVISED LEARNING;

ANALYSIS AND SIMULATION; EMERGING ARCHITECTURES; HEURISTIC APPROACH; LAYER ARCHITECTURES; META-LAYER; ROUTING; SUPERVISED MACHINE LEARNING; TRAFFIC ENGINEERING;

LEARNING SYSTEMS;

EID: 84929415083     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNIDC.2014.7000278     Document Type: Conference Paper

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