TY - GEN
T1 - Active queue management algorithm considering queue and load states
AU - Hong, Jaesung
AU - Joo, Changhee
AU - Bahk, Saewoong
N1 - Funding Information:
This work was supported by Seoul R&BD program and NRL program of KISTEP, Korea.
PY - 2004
Y1 - 2004
N2 - 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 and control incipient congestion. It predicts the average queue length and controls it to maintain a certain reference value to achieve high link utilization and low queueing delay. Simulation results confirm the stability of our proposed algorithm under various network environments and show its performance advantages over other competitive AQM algorithms.
AB - 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 and control incipient congestion. It predicts the average queue length and controls it to maintain a certain reference value to achieve high link utilization and low queueing delay. Simulation results confirm the stability of our proposed algorithm under various network environments and show its performance advantages over other competitive AQM algorithms.
UR - http://www.scopus.com/inward/record.url?scp=17444393607&partnerID=8YFLogxK
U2 - 10.1109/ICCCN.2004.1401608
DO - 10.1109/ICCCN.2004.1401608
M3 - Conference contribution
AN - SCOPUS:17444393607
SN - 0780388143
T3 - Proceedings - International Conference on Computer Communications and Networks, ICCCN
SP - 140
EP - 145
BT - Proceedings - 13th International Conference on Computer Communications and Networks, ICCCN 2004
A2 - DaSilva, L.
A2 - Engbersen, T.
A2 - Park, E.K.
T2 - Proceedings - 13th International Conference on Computer Communications and Networks, ICCCN 2004
Y2 - 11 October 2004 through 13 October 2004
ER -