适用于聚集流速率估计的AQM流率估计法

AQM flow-rate estimation method for aggregate flows

为了提高主动队列管理(AQM)流率估计法对聚集流的适用性,给出一种自适应参数配置方法。提出了以失真度为指标的评价流率估计法估计值准确程度的思想,并以此分析了3种AQM流率估计法——EWMA、结合变化趋势的EWMA、PLMA对聚集流的估计准确性,指出3种算法皆存在失真度较大的缺点。用平均流率的相对波动量概念来反映流率测量值的波动状况,在两种不同的状况下,对原算法中固定不变的参数进行自适应优化配置,从而降低了估计值的失真度。仿真结果表明了该方法的有效性。

To improve the applicability of the active queue management（AQM） flow rate estimation algorithms on aggregate flows,an adaptive parameter configuration method is presented.Firstly,a concept of distortion factor is put forward to value the order of accuracy of the flow rate estimation method,and the outputs of three methods including EWMA,EWMA considering the direction of rate changes,and PLMA are analyzed by the distortion factor.It is pointed out that each of the methods has a big distortion factor.Then,a concept of the relative fluctuation quantity of average rate is brought out to reflect the fluctuation status of the measured flow rate,and the fixed parameters in the former algorithms are adaptively optimized according to two different states,so the distortion factor of the output is lowered down.Finally,performances of the proposed method are demonstrated by the simulation.