제어로봇시스템학회:학술대회논문집
- 제어로봇시스템학회 2001년도 ICCAS
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- Pages.121.1-121
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- 2001
Adaptive Nonlinear RED Algorithm for TCP Congestion Control
- Park, Kyung-Joon (Seoul National University) ;
- Park, Eun-Chan (Seoul National University) ;
- Lim, Hyuk (Seoul National University) ;
- Cho, Chong-Ho (Seoul National University)
- 발행 : 2001.10.01
초록
Congestion control is a critical issue in TCP networks, Recently, active queue management (AQM) was proposed for congestion control at routers. The random early detection RED algorithm is widely known in the AQM algorithms, We present an adaptive nonlinear RED (NRED) algorithm, which has nonlinear drop probability profile. The proposed algorithm enhanced the performance of the RED algorithm by the self-parameterization based on the traffic load Furthermore, the proposed algorithm can effectively adapt itself between he RED and the drop-tail queue management by adopting proper nonlinearity in the drop probability profile. Through simulation, we show the effectiveness of the proposed algorithm comparing with the drop-tail and the original RED algorithm.
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