Network congestion control method based on serialization model

Abstract

The present invention provides a network congestion control method based on a serialization model. The method comprises: building a serialization congestion control model in advance, after sending (t+1)th data packet to a receiving terminal by a sending terminal in the TCP connection, when receiving the confirmation packet answered by the receiving terminal aiming at the (t+1)th data packet through the sending terminal, calculating the current network state parameters through the sending terminal, and taking the network state parameters as the (t+1)th M type network state parameters; according to the preset serialization congestion control model, determining the congestion window value corresponding to the (t+1)th M type network state parameters; according to the congestion window value corresponding to the (t+1)th M type network state parameters, determining the determination value of the size of the (t+1)th congestion window; and calculating the award value corresponding to the (t+1)th M type network state parameters, and determining the assessment value corresponding to the (t+1)th M type network state parameters to update the model. The network congestion control method based on the serialization model can effectively control the network congestion problem from the sending terminal.

Description

technical field [0001] The invention relates to network technology, in particular to a continuous model-based network congestion control method. Background technique [0002] Network congestion refers to the decrease in network transmission efficiency due to the limited performance of storage and forwarding nodes in the network, limited endpoint pairs, and improper resource utilization. Network congestion not only reduces the actual network experience of network users and increases the instability of the network, but also leads to the interruption of network communication in severe cases. Today, with the rapid development of the Internet, the number of access network endpoints has increased rapidly, and the frequency of network congestion has also greatly increased, which has become one of the main reasons for restricting network development, affecting network performance, and wasting network resources. However, the existing network congestion control technology has poor co...

AI Technical Summary

Problems solved by technology

However, the existing network congestion control technology is less effective in controlling network congestion

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