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Conference Paper A predictive and robust active queue management for Internet congestion control
Cited 54 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Seungwan Ryu, Christopher Rump, Chunming Qiao
Issue Date
2003-07
Citation
International Symposium on Computers and Communications (ISCC) 2003, pp.1-8
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ISCC.2003.1214245
Abstract
Recently many active queue management (AQM) algorithms have been proposed to address performance degradations of end-to-end congestion control. However, these AQM algorithms show weaknesses to detect and control congestion under dynamically changing network situations. In this paper, we propose a predictive and robust AQM algorithm, called proportional-integral-derivative (PID)-controller, using PID feedback control the incipient as well as current congestion adaptively and proactively to dynamically changing network environments. A simulation study over a wide range of IP traffic conditions shows that PID-controller outperforms other AQM algorithms such as random early detection (RED) and proportional-integral (PI) controller in terms of the queue length dynamics, the packet loss rates, and the link utilization. © 2003 IEEE.
KSP Keywords
AQM algorithm, End to End(E2E), End-to-End congestion control, IP traffic, Internet congestion control, PID feedback control, PID-controller, Proportional-integral (PI) controller, Random early detection(RED), Simulation study, Wide range