SABlue: A Self-tune AQM Algorithm with Acceleration Factor

In this paper, a self-tune AQM (Active Queue Management) algorithm with acceleration factor is presented by analyzing Blue algorithm and its variants, which is called SABlue (Self-tune Accelerate Blue). In order to make the queue length kept in the aim area, this algorithm adopt instantaneous queue length as the parameter of incipient congestion detection and calculate the step size of packet drop probability by using load factor. Furthermore, for the sake of response speed, the acceleration factor is led into alert area when the network traffic is changed suddenly. The experiments demonstrate that SABlue algorithm is more robust, carrying lower packet loss and shorter convergence time in the situation of dynamic traffic and RTT variation. The comprehensive performance of SABlue is more excellent than other AQM algorithms.