Congestion control for the future internet

Grant number: DP0559131

Abstract

Australia relies very much on its telecommunications infrastructure due to its geographic dispersion. Our novel and practical Internet congestion control scheme will overcome current weaknesses in the Internet, and will enable the Australian telecommunication service industry to provide a better quality of service to the customers (including Australia industries and rural communities) and at lower cost. This project will put Australia on the international stage as an leading contributor to Internet technology. We will provide training for PhD students and the management of postdoctoral fellows in the important area of Internet traffic engineering and control.

Related publications (9)

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Utility max-min fair resource allocation for communication networks with multipath routing

Jiong Jin, Wei-Hua Wang, Marimuthu Palaniswami

2009-11-15

This paper considers the flow control and resource allocation problem as applied to the generic multipath communication networks w..

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An adaptive REM for improving a AQM performance

Jinsheng Sun, Moshe Zukerman, Marimuthu Palaniswami

2008-01-01

In this paper, we propose an adaptive algorithm called Adaptive REM (AREM) that improves the performance of Random Exponential Mar..

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Rate allocation for a multi-service internet

Z Rosberg, M Zukerman

2007-12-01

The paper introduces a new algorithm for rate allocation in a multi-service Internet The algorithm meets delay requirements of dif..

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Instability effects of two-way traffic in a TCP/AQM system

Jinsheng Sun, Sammy Chan, King-Tim Ko, Guanrong Chen, Moshe Zukerman

2007-07-31

Considering four popular Active Queue Management (AQM) schemes, we demonstrate by simulations that loss and delay of acknowledgeme..

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RaQ: A robust active queue management scheme based on rate and queue length

Jinsheng Sun, Moshe Zukerman

2007-06-08

This paper introduces a new Active Queue Management (AQM) scheme, which is both rate-based and queue-based called RaQ and presents..

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A stable adaptive PI controller for AQM

Jinsheng Sun, Moshe Zukerman, Marimuthu Palaniswami

2007-01-01

Active queue management (AQM) mechanisms have been proposed to support end-to-end congestion control mechanisms of transmission co..

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Stabilizing RED using a fuzzy controller

Jinsheng Sun, Moshe Zukerman, Marimuthu Palaniswami

2007-01-01

Active Queue Management (AQM) is an effective method to provide an early notification of network congestion by pro-actively droppi..

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Utility max-min fair flow control for heterogeneous sensor networks

Jiong Jin, Wei-Hua Wang, Marimuthu Palaniswami

2007-01-01

This paper considers flow control and resource allocation problem as applied to heterogeneous sensor networks with multipath routi..

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Application-oriented flow control: Fundamentals, algorithms and fairness

Wei-Hua Wang, Marimuthu Palaniswami, Steven H Low

2006-12-01

This paper is concerned with flow control and resource allocation problems in computer networks in which real-time applications ma..

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