Active Queue Management (AQM) based on nonlinear difference equations is proposed to solve the end-to-end TCP network congestion problem. The proposed AQM scheme can guarantee the stability of the multiple bottleneck network by nonlinear control of dropping probability of the routers by imposing some restrictions on the AQM parameter. Nonlinear control often relies on some heuristics and network traffic controllers that appear to be highly correlated with the multiple bottleneck network status. Based on the proposed nonlinear difference equations for TCP flows control across the network, this paper reveals the reasons of congestion of multiple bottleneck AQM, and provides a theorem for avoiding network congestion. Moreover, we give simulations to verify the results for nonlinear control of the multiple bottleneck network congestion.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copy
Yang XIAO, Moon Ho LEE, "Nonlinear Control of Active Queue Management for Multiple Bottleneck Network" in IEICE TRANSACTIONS on Communications,
vol. E89-B, no. 11, pp. 3108-3113, November 2006, doi: 10.1093/ietcom/e89-b.11.3108.
Abstract: Active Queue Management (AQM) based on nonlinear difference equations is proposed to solve the end-to-end TCP network congestion problem. The proposed AQM scheme can guarantee the stability of the multiple bottleneck network by nonlinear control of dropping probability of the routers by imposing some restrictions on the AQM parameter. Nonlinear control often relies on some heuristics and network traffic controllers that appear to be highly correlated with the multiple bottleneck network status. Based on the proposed nonlinear difference equations for TCP flows control across the network, this paper reveals the reasons of congestion of multiple bottleneck AQM, and provides a theorem for avoiding network congestion. Moreover, we give simulations to verify the results for nonlinear control of the multiple bottleneck network congestion.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e89-b.11.3108/_p
Copy
@ARTICLE{e89-b_11_3108,
author={Yang XIAO, Moon Ho LEE, },
journal={IEICE TRANSACTIONS on Communications},
title={Nonlinear Control of Active Queue Management for Multiple Bottleneck Network},
year={2006},
volume={E89-B},
number={11},
pages={3108-3113},
abstract={Active Queue Management (AQM) based on nonlinear difference equations is proposed to solve the end-to-end TCP network congestion problem. The proposed AQM scheme can guarantee the stability of the multiple bottleneck network by nonlinear control of dropping probability of the routers by imposing some restrictions on the AQM parameter. Nonlinear control often relies on some heuristics and network traffic controllers that appear to be highly correlated with the multiple bottleneck network status. Based on the proposed nonlinear difference equations for TCP flows control across the network, this paper reveals the reasons of congestion of multiple bottleneck AQM, and provides a theorem for avoiding network congestion. Moreover, we give simulations to verify the results for nonlinear control of the multiple bottleneck network congestion.},
keywords={},
doi={10.1093/ietcom/e89-b.11.3108},
ISSN={1745-1345},
month={November},}
Copy
TY - JOUR
TI - Nonlinear Control of Active Queue Management for Multiple Bottleneck Network
T2 - IEICE TRANSACTIONS on Communications
SP - 3108
EP - 3113
AU - Yang XIAO
AU - Moon Ho LEE
PY - 2006
DO - 10.1093/ietcom/e89-b.11.3108
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E89-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2006
AB - Active Queue Management (AQM) based on nonlinear difference equations is proposed to solve the end-to-end TCP network congestion problem. The proposed AQM scheme can guarantee the stability of the multiple bottleneck network by nonlinear control of dropping probability of the routers by imposing some restrictions on the AQM parameter. Nonlinear control often relies on some heuristics and network traffic controllers that appear to be highly correlated with the multiple bottleneck network status. Based on the proposed nonlinear difference equations for TCP flows control across the network, this paper reveals the reasons of congestion of multiple bottleneck AQM, and provides a theorem for avoiding network congestion. Moreover, we give simulations to verify the results for nonlinear control of the multiple bottleneck network congestion.
ER -