Title :
A method of classifying multimedia traffic flows based on neural network
Author :
Jiansheng, Xue ; Guangxing, Wang
Author_Institution :
Network & Commun. Center, Northeastern Univ., Shenyang, China
Abstract :
A new method of classifying multimedia traffic flows was proposed for the next generation Internet (NGI). By analyzing the time level correlation of traffic flows, a model of competitive artificial neural network was designed to identify and classify different traffic flows and modulate them which can help to marking the Ipv6 flow label. Simulation result shows that the method can increase the precision of classification, and has little impact on the throughput of border gateway, has actual value.
Keywords :
IP networks; internetworking; multimedia communication; network servers; neural nets; Ipv6 flow label; artificial neural network; border gateway; multimedia traffic flows; next generation Internet; Artificial neural networks; Bit rate; Delay; IP networks; Network servers; Neural networks; Next generation networking; Quality of service; Telecommunication traffic; Traffic control;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2005. Proceedings. 2005 International Conference on
Print_ISBN :
0-7803-9335-X
DOI :
10.1109/WCNM.2005.1544281
