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A Hopfield Neural Network Flow Classifier in IP Switching
Como, Italy July 24-July 27
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.861502IEEE-INNS-ENNS International Joint Co ...
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Lianyuan Li, Beijing University of Posts and Telecommunications
Zemin Liu, Beijing University of Posts and Telecommunications
Zheng Zhou, Beijing University of Posts and Telecommunications
In this paper, flows classification in IP switch is discussed. Different traditional flow classifiers are briefly introduced. Then a Hopfield neural network flow classifier (HNNC) is proposed. It can detect services as suitable for switching in accordance with VC space of IP switch. The simulation results show that services suitable to be switched are detected by HNNC and the majority of packets are assigned to a minimum number of flows.
Index Terms:
IP switching, flow classification, neural network
Citation:
Lianyuan Li, Zemin Liu, Zheng Zhou, "A Hopfield Neural Network Flow Classifier in IP Switching," ijcnn, vol. 5, pp.5398, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 5, 2000
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