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학술지 Advances in Active Queue Management (AQM) Based TCP Congestion Control
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저자
류승완, Christopher Rump, Chunming Qiao
발행일
200403
출처
Telecommunication Systems, v.25 no.3,4, pp.317-351
ISSN
1018-4864
DOI
https://dx.doi.org/10.1023/B:TELS.0000014788.49773.70
협약과제
03MM1100, 4세대 이동통신 기술개발, 한기철
초록
Current end-to-end Internet congestion control under tail-drop (TD) queue management experiences performance degradations such as multiple packet losses, high queueing delay and low link utilization. In this paper, we review recently proposed active queue management (AQM) algorithms for supporting end-to-end transmission control protocol (TCP) congestion control. We focus recently developed control theoretic design and analysis method for the AQM based TCP congestion control dynamics. In this context, we analyze the problems of existing AQM proposals in which congestion is detected and controlled reactively based on current and/or past congestion. Then we argue that AQM based TCP congestion control should be adaptive to the dynamically changing traffic situation in order to detect, control and avoid the current and the incipient congestion proactively. Finally, we survey two adaptive and proactive AQM algorithms, PID-controller and Pro-Active Queue Management (PAQM), designed using classical proportional-integral-derivative (PID) feedback control to overcome the reactive congestion control dynamics of existing AQM algorithms. A comparative study of these AQM algorithms with existing AQM algorithms is given. A simulation study under a wide range of realistic traffic conditions suggests that PID-controller and PAQM outperform other AQM algorithms such as random early detection (RED) [Floyd and Jacobson, 18] and proportional-integral (PI) controller [Hollot et al., 24].
KSP 제안 키워드
Control current, Design and analysis method, End to End(E2E), Feedback Control, Internet congestion control, PID-controller, Pro-active, Proportional-integral (PI) controller, Queueing delay, Random early detection(RED), Simulation study