Stable Tuning for Random Early Detection Algorithm

摘要：

　　Although Adaptive RED(ARED)algorithms,which can adjust REDs parameters adaptively are broadly researched to deal with dynamic network scenarios,including bursty traffic and varying link state,unstability is still a constraint against the improvement of efficiency.In this paper,TCP/RED system is considered as a feedback system where equilibrium exists.Through analyzing the proposed system,the adverse effects of busty traffic and varying link state are studied respectively.We also point out that,exist ARED algorithms are low-efficiency because there is equilibrium drifting during adjustment in these algorithms.Therefore,we propose a stable tuning manner for RED parameters which can keep the equilibrium point fixed faced with bursty traffic.In our proposed algorithm,the target queue size is set along with the measured equilibrium point in real time,and the adjustment method for RED parameters is by tuning the slope of the packet dropping probability.This method can keep the equilibrium point in avoidance of equilibrium point drifting under various traffic conditions.Numerical results in NS3 prove our algorithm is more stable and efficient.

关键词： Congestion avoidance Adaptive Random Early Detection Bursty traffic Varying link state Stable tuning

作者: YANG Lin ZHU Jin XIE Wanqing TAN Xiaobin

作者单位: Department of Automation,University of Science and Technology of China,Hefei,Anhui,230027,China School of Information Science and Technology,University of Science and Technology of China,Hefei,Anh

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 5470-5475

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）