一种基于模糊神经网络的可靠流量控制模型.pdf

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a kind of congestion control model which based on fuzzy neural network ( FNN)
from the practical status of data buffer , for the sake of controlling P2P traffic. This model divides data buffer into two
queues which store P2P data packets and non P2P data packets respectively. It forcasts and evaluates conditions of buff
er queues through FNN as well as guides space allocation of each queue through constructing a evaluation function.
Thus ,this model is able to control congestion condition of each queue and resize allocation of queues in the buffer auto
matically , then it can avoid lock out of the buffer by actively dropping packets before the buffer is overflow. Results
from simulation experiments show that this model has gained better effect in ensuring network resource allocation equi
table , it can also decreases the delay of packet queuing and the dropping ratio. Thus ,it improves the ability of routers in
dealing with network congestion.
Keywords 　P2P , Congestion control , Fuzzy Neural Network ( FNN)
　
严重下降 。
1 　引言
模糊神经网络把神经网络的低水平学习和并行计算能力
近几年来 P2P ( Peer To Peer