DocumentCode
2579635
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
Volume
2
fYear
2005
fDate
23-26 Sept. 2005
Firstpage
1249
Lastpage
1252
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2005. Proceedings. 2005 International Conference on
Print_ISBN
0-7803-9335-X
Type
conf
DOI
10.1109/WCNM.2005.1544281
Filename
1544281
Link To Document