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PURPLE: Predictive Active Queue Management Utilizing Congestion Information

9 years 9 months ago
PURPLE: Predictive Active Queue Management Utilizing Congestion Information
Active Queue Management (AQM) is an attempt to find a delicate balance between two antagonistic Internet queuing requirements: First, buffer space should be maximized to accommodate the possibly huge transient bursts; second, buffer occupation should be minimum so as not to introduce unnecessary end-to-end delays. Traditional AQM mechanisms have been built on heuristics to achieve this balance, and have mostly done so quite well, but often require manual tuning or have resulted in slow convergence. In contrast, the PURPLE approach predicts the impact of its own actions on the behavior of reactive protocols and thus on the short-term future traffic without keeping perflow state. PURPLE allows much faster convergence of the main AQM parameters, at least towards a local optimum, thereby smoothing and minimizing both congestion feedback and queue occupancy. To improve the quality of the prediction, we also passively monitor (using lightweight operations) information pertaining to the a...
Roman Pletka, Marcel Waldvogel, Soenke Mannal
Added 05 Jul 2010
Updated 05 Jul 2010
Type Conference
Year 2003
Where LCN
Authors Roman Pletka, Marcel Waldvogel, Soenke Mannal
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