ECN mechanism-based congestion control method in the mixed network

Abstract

The invention discloses a congestion control method based on ECN mechanism in the mixed network, including the following steps: extract final section of ECN feedback information of the router, computer the congestion probability according to the distribution of the congestion mask, the sender can predict the congestion via the change trend of the congestion probability and adjust the congestion control mechanism according to the prediction result. The invention deduces the congestion according to the change rule of the congestion probability, namely only when the congestion probability value shows the increase trend, the congestion can be identified, so it can avoid the instantaneous and blind determination of the network status when the independent ECN feedback is used. The prediction results of the feedback are used to control the response behavior of the TCP packet loss and can accurately eliminate the influences of the non-congestion packet loss on the TCP congestion control in the mixed network.

Description

technical field [0001] The invention relates to a congestion control method based on an ECN mechanism in a hybrid network. Background technique [0002] Different from wired networks, wireless networks have high bit errors, complex channel fading, and sudden equipment noise. These characteristics will lead to frequent packet loss, but traditional TCP simply attributes all packet loss to network congestion. And blindly adopt the control strategy, which greatly reduces the performance of TCP. Therefore, in a wired / wireless hybrid network, TCP needs to eliminate the impact of non-congested packet loss on the original congestion control mechanism. [0003] In a wired / wireless hybrid network, TCP performance is mainly improved by distinguishing between congestion packet loss and wireless error packet loss. Packet loss discrimination method has NCPLD based on round-trip delay [4] , TCP-Biaz based on packet arrival interval [5] , TCP-Spike based on ROTT [6] , TCP-Bayes based o...

AI Technical Summary

Problems solved by technology

[0004] (1) Most discrimination methods adopt end-to-end measures, and they have strong dynamics in forming increasingly complex hybrid networks, so it is difficult to establish the correspondence between these measures and network states

This will directly affect the accuracy of packet loss discrimination and the corresponding TCP performance

The TCP-Bayes method pays full attention to this feature, and establishes an HMM model that shows the dynamic relationship between RTT and packet loss properties, and keeps the discrimination accuracy above 80%, but obtaining this model requires learning and training based on historical data , the price paid will greatly limit the application of this method in TCP control

[0005] (2) The current evaluation of the differentiation method uses the accuracy index of the packet loss event, but in the hybrid network, due to the long delay characteristic, the response to a single packet loss event is not real-time, that is to say, the difference obtained by the sender The information is actually the state of the network at a certain point in the past

[0013] The ACK Spoofing / Congestion Signal Cancellation method allows the router to update the network status in a timely manner during the process of feeding back the congestion mark. ACK Spoofing notifies the sender of congestion in advance by generating 3 repeated ACKs. Congestion Signal Cancellation caches the congestion mark in advance and waits for the next The router confirms the network status at all times and then decides whether to send the mark. These two technologies are designed to allow the sender to capture the latest network status in the shortest time, but the completion of such work by the router will undoubtedly increase the system overhead and implementation difficulty.

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