Title :
A Hopfield neural network flow classifier in IP switching
Author :
Li, Lianyuan ; Liu, Zemin ; Zhou, Zheng
Author_Institution :
Beijing Univ. of Posts & Telecommun., China
Abstract :
Flow classification in an 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 the virtual circuit space of the 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
Keywords :
Hopfield neural nets; packet switching; transport protocols; Hopfield neural network flow classifier; IP switching; packet assignment; traditional flow classifiers; virtual circuit space; Asynchronous transfer mode; Circuits; Hopfield neural networks; Intelligent networks; Internet; Packet switching; Switches; TCPIP; Telecommunication switching; Virtual colonoscopy;
Conference_Titel :
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Conference_Location :
Como
Print_ISBN :
0-7695-0619-4
DOI :
10.1109/IJCNN.2000.861502
