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Joo, Changhee
Learning, Modeling, and Networking
Research Interests
  • Learning, modeling, networking, resource allocation, stochastic optimization, distributed computing, low complexity

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Active queue management algorithm considering queue and load states

Cited 6 times inthomson ciCited 10 times inthomson ci
Title
Active queue management algorithm considering queue and load states
Author
Hong, JaesungJoo, ChangheeBahk, Saewoong
Keywords
active queue management; random early detection; congestion control
Issue Date
2007-02
Publisher
ELSEVIER SCIENCE BV
Citation
COMPUTER COMMUNICATIONS, v.30, no.4, pp.886 - 892
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.
URI
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DOI
10.1016/j.comcom.2006.10.012
ISSN
0140-3664
Appears in Collections:
EE_Journal Papers
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