Therefore, the AQM algorithm is of great significance to the study.
因此，对AQM算法的研究具有重要意义。
This paper proposed a novel AQM algorithm based on neural network control.
提出了一个基于神经网络控制的主动队列管理（AQM）算法；
PI is the AQM algorithm cased on control theory and has smaller queue length oscillation than RED.
PI算法是基于控制论的主动队列管理算法，具有队列长度抖动小的特点。
Based on the cybernetics and REM algorithm, an improved AQM algorithm and a congestion control strategy are proposed.
根据控制论中将链路价格化的方法，对REM算法的进行了改进，提出了新的拥塞控制机制。
Active Queue Management (AQM) algorithm can be a good solution to network congestion problem, but this method is gradually used in the network system.
主动队列管理(aqm)算法能够很好的解决网络拥塞问题，而且这种方法也逐渐在网络系统中使用。
Through analyzing the characteristic of the source algorithms and AQM at the equilibrium, we propose a new model with less constraint condition and a distribution algorithm with larger application.
运用子梯度方法求解新模型的对偶问题，得到了一种新的基于对偶问题的分布式算法框架，并证明了这种新算法的收敛性。
Furthermore, by applying the present method into the network congestion control, this paper constructed a new Active Queue Management (AQM) algorithm, IMC-PID algorithm.
将IMC - PID应用于网络拥塞控制中，得到了一种新的主动队列管理(aqm)算法——IMC - PID算法。
It is a main technology to solve the congestion in Internet by active queue management. As an important AQM method, RED algorithm can alleviate the network congestion in a certain extent.
主动队列管理是实现网络拥塞控制的重要技术，随机早期检测算法作为一个重要的主动队列管理机制，在一定程度上能够缓解网络拥塞。
Absrtact: Analyze some major active queue management (AQM) algorithm.
摘要：分析了几种主动队列管理算法。
Absrtact: Analyze some major active queue management (AQM) algorithm.
摘要：分析了几种主动队列管理算法。
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