An Adaptive Active Queue Management Algorithm—Self-Adaptive BLUE
Liu Wei-yan①②; Sun Yan-fei①; Zhang Shun-yi①; Liu Bin③
①Institute of Information Network Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;②Department of Information Engineering, Jiangsu Radio and TV University, Nanjing 210017, China;③Department of Media and Art, Jiangsu Radio and TV University, Nanjing 210036, China
Abstract：As a classical Active Queue Management (AQM) algorithm, compared with RED (Random Early Detection), BLUE has many advantages. BLUE uses packet loss and link idle events to manage congestion. However, there are still some insufficiencies in parameter setting for BLUE. Especially when TCP connections changed dramatically will lead to queue overflow and underflow. Based on the study of BLUE, a novel self-adaptive BLUE is proposed. NS simulation results show that the algorithm can effectively stabilize the queue occupation independent of the number of active TCP connections and mitigate the queue overflow and underflow, it can improve link utilization and decrease packet loss rate at the same time.
2009, Vol. 31 
