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引用次数: 2
摘要
在DiffServ架构下,提出了一种基于流量预测的队列缓冲管理算法——pario - c算法。该算法采用递归最小二乘(RLS)方法预测网络中平均队列长度的变化,并结合自适应随机早期检测(ARED)算法自适应调整参数,从而更好地控制网络拥塞。实验结果表明,PARIO-C算法与Random Early Detection with In/Out和Couple queue (RIO-C)算法在时延、抖动、丢包率等方面进行了比较,降低了网络的时延和丢包率,从而在一定程度上提高了网络的QoS。
A queue buffer management algorithm based on traffic prediction in DiffServ architecture
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.