A method and system for adaptively adjusting the initial window of congestion control

A technology of self-adaptive adjustment and congestion control, applied in the field of communication, can solve problems such as inability to adapt and cannot achieve performance, and achieve the effect of improving the efficiency of streaming transmission

Active Publication Date: 2021-03-26
佛山市鹰火微峰科技有限公司
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  • Abstract
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  • Claims
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Problems solved by technology

However, this method cannot adapt to the dynamically changing network environment and cannot achieve optimal performance

Method used

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[0029] In order to make the purpose, technical solution, design method and advantages of the present invention clearer, the present invention will be further described in detail through specific embodiments in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0030] In all examples shown and discussed herein, any specific values ​​should be construed as exemplary only, and not as limitations. Therefore, other instances of the exemplary embodiment may have different values.

[0031] Techniques, methods and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, such techniques, methods and devices should be considered part of the description.

[0032] According to an embodiment of the present invention, a method for adaptively adjusting an initial window for congestion co...

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Abstract

The invention provides a method and system for adaptively adjusting the initial window of congestion control. The method includes: constructing a neural network decision model, taking the historical stream transmission state as input, and taking the probability distribution of the initial window of congestion control as output; constructing a Markov learning process, and obtaining the optimized parameters of the neural network decision model through online learning ; Use the optimized neural network decision model to obtain the initial window value of congestion control, which is used in the subsequent streaming process. The invention uses the deep neural network to dynamically set the initial window of congestion control, and can adapt to the change of the network environment, thereby improving the network transmission efficiency.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a method and system for adaptively adjusting the initial window of congestion control. Background technique [0002] TCP (Transmission Control Protocol) is a connection-oriented, reliable, and byte-stream-based transport layer communication protocol. Congestion control is an algorithm used to adjust the size of the congestion window in TCP. Many applications implement each other through the transmission control protocol. communication. When communication starts, the client will establish a TCP connection with the server, then the client sends a request to the server, and the server sends a response to the client after receiving the request. When performing response data transmission, the client will dynamically adjust the size of the congestion window according to the congestion control algorithm. The initial value of the congestion window size is very small, usually set ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L12/807G06N3/04G06N3/08H04L47/27
CPCH04L47/27G06N3/08G06N3/045
Inventor 谢瑞桃孙文斌伍楷舜
Owner 佛山市鹰火微峰科技有限公司
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