An Adaptive Active Queue Management AlgorithmSelf-Adaptive BLUE

Liu Wei-yan; Sun Yan-fei; Zhang Shun-yi; Liu Bin

doi:10.3724/SP.J.1146.2007.01263

Volume 31 Issue 2

Dec. 2010

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Article Navigation > Journal of Electronics & Information Technology > 2009 > 31(2): 462-466

Liu Wei-yan, Sun Yan-fei, Zhang Shun-yi, Liu Bin. An Adaptive Active Queue Management AlgorithmSelf-Adaptive BLUE[J]. Journal of Electronics & Information Technology, 2009, 31(2): 462-466. doi: 10.3724/SP.J.1146.2007.01263

Citation:

Liu Wei-yan, Sun Yan-fei, Zhang Shun-yi, Liu Bin. An Adaptive Active Queue Management AlgorithmSelf-Adaptive BLUE[J]. Journal of Electronics & Information Technology, 2009, 31(2): 462-466. doi: 10.3724/SP.J.1146.2007.01263

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An Adaptive Active Queue Management AlgorithmSelf-Adaptive BLUE

doi: 10.3724/SP.J.1146.2007.01263

Liu Wei-yan^{①②;孙雁飞},
Sun Yan-fei,
Zhang Shun-yi,
Liu Bin

Received Date: 2007-07-31
Rev Recd Date: 2008-06-02
Publish Date: 2009-02-19

Abstract

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.

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References(1)

References

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