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A Queue Buffer Management Algorithm Based on Traffic Prediction in DiffServ Architecture

机译:基于DiffServ架构流量预测的队列缓冲区管理算法

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In the DiffServ architecture, a queue buffer management algorithm-PARIO-C algorithm based on traffic prediction was proposed. The algorithm used Recursive Least Squares (RLS) method to predict the change of average queue length in the network, and combined Adaptive Random Early Detection (ARED) algorithm to adjust the parameter adaptively, thus achieved better control of network congestion. Experimental comparison with Random Early Detection with In/Out and Couple queue (RIO-C) algorithm on latency, jitter, packet loss rate, the results show that PARIO-C algorithm lower the scope of network jitter, and reduce the network latency and packet loss rate, so improve network QoS to a certain extent.
机译:在DiffServ架构中,提出了一种基于流量预测的队列缓冲管理算法-ARIO-C算法。该算法使用递归最小二乘(RLS)方法来预测网络中的平均队列长度的变化,以及组合自适应随机早期检测(由此产生)算法,自适应地调整参数,从而实现了对网络拥塞的更好控制。试验比较随机早期检测与IN / OUT和耦合队列(RIO-C)延迟,抖动,丢包率,结果表明,Pario-C算法降低了网络抖动的范围,并减少了网络延迟和数据包损失率,因此在一定程度上提高网络QoS。

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