A New TCP/AQM System Analysis

TL;DR

This paper introduces a new analysis method for TCP/AQM systems that improves the accuracy of the MGT fluid model in heavy traffic conditions, providing bounds and demonstrating enhanced precision through simulations.

Contribution

The paper presents a novel analysis approach for TCP/AQM systems that yields more accurate predictions under heavy traffic by considering extreme congestion scenarios.

Findings

The new model provides tighter bounds on queue length and marking probability.

Simulation results show significantly higher accuracy than previous models.

Steady-state behavior of bounds converges, validating the approach.

Abstract

The MGT fluid model has been used extensively to guide designs of AQM schemes aiming to alleviate adverse effects of Internet congestion. In this paper, we provide a new analysis of a TCP/AQM system that aims to improve the accuracy of the MGT fluid model especially in heavy traffic conditions. The analysis is based on the consideration of two extreme congestion scenarios that leads to the derivation of upper and lower bounds for the queue length and marking probability dynamics and showing that they approach each other in steady state. Both discrete and continuous time models are provided. Simulation results demonstrate that the new model achieves a significantly higher level of accuracy than a simplified version of the MGT fluid model.