%0 Journal Article
%T SABlue: A Self-tune AQM Algorithm with Acceleration Factor<br>SABlue:一种带加速因子的自适应AQM算法
%A Chen Wei-jie
%A Wang Wan-liang
%A Jiang Yi-bo
%A Zheng Jian-wei
%A <br>陈伟杰
%A 王万良
%A 蒋一波
%A 郑建炜
%J 电子与信息学报
%D 2011
%I 
%X 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.
%K Network congestion control
%K Active Queue Management (AQM)
%K Blue algorithm
%K SABlue<br>网络拥塞控制
%K 主动队列管理
%K Blue算法
%K SABlue
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=859D297C00DA8324CE57696CB7334C3B&yid=9377ED8094509821&vid=27746BCEEE58E9DC&iid=0B39A22176CE99FB&sid=A33A8FD1432A4C3E&eid=07C6E4664BB7C5DA&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=10