Research on Performance of Adaptive AQM Algorithm of Self-Similar Traffic
Xiaowen Zhu · Computer Technology and Development · 2009
Aimed at the self-similar characteristic of network traffic,an improved adaptive AQM algorithm for self-similar traffic,namely IARED,is proposed. Based on the self-similarity and long-range dependence of the network traffic,the algorithm uses the autocorrelation function to set the average queue length and dynamically adjust the maximum packet dropping/marking probability according to two parameters,namely the change ratio of the current average queue length versus target queue length and change ratio of current average queue length versus last average queue length.The simulation results show that the improved algorithm can accommodate the change of the self-similar traffic and control the queue length very well,so as to decrease the packet loss rate and keep low queue delay.