Congestion control method based on GARCH time sequence algorithm
A congestion control and time series technology, applied in the field of congestion control mechanism based on GARCH time series algorithm, can solve problems such as breaking semantics, wrong judgment, high transmission stability, etc., and achieve the effect of improving stability
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[0028] In order to solve the above problems, the present invention is based on a congestion control algorithm at the sending end. The algorithm is based on the GARCH (generalized autoregressive conditional heteroscedasticity) algorithm, and the time interval of the arrival of the correct command received by the sender is a time series, and the GARCH(p,q) (generalized autoregressive conditional heteroscedasticity, p autoregressive conditional heteroscedasticity, p The order of the regression, q is the order of the ARCH item) The autoregressive conditional heteroscedasticity prediction model predicts the delay time of the sending end to send the data packet, and obtains the predicted value. Then compare the predicted value with the size of the data packet, and the obtained ratio can be used to measure the bandwidth in the network at this time. If the actual bandwidth is greater than this value, it means that there will be no congestion in the transmission at this time, otherwise...
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