Active queue management algorithm considering queue and load states

Authors:
Jaesung Hong;Changhee Joo;Saewoong Bahk
Affiliations:
INMC, School of Electrical Engineering and Computer Science, Seoul National University, Seoul, Republic of Korea;INMC, School of Electrical Engineering and Computer Science, Seoul National University, Seoul, Republic of Korea;INMC, School of Electrical Engineering and Computer Science, Seoul National University, Seoul, Republic of Korea
Venue:
Computer Communications
Year:
2007

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Abstract

In this paper, we propose a new AQM algorithm that considers both the average queue length and the estimated packet arrival rate together in order to detect incipient congestion. The proposed algorithm predicts the average queue length and controls it to maintain a certain reference value to achieve high link utilization and low queueing delay. It also has low complexity and easy configuration. Simulation results validate the performance of the proposed algorithm under various environments and show its advantage over other existing AQM algorithms.