Recognizing that Internet congestion control is a complex nonlinear system, we propose here to use an intelligent controller to improve its stability and performance. In particular, we propose here a new, powerful, easy-to-configure and robust active queue management (AQM) scheme called adaptive neuron AQM (AN-AQM). We present extensive simulation results for AN-AQM, over a wide range of networ...

Formal modeling is considered one of the fundamental phases in design network algorithms, including Active Queue Management (AQM) schemes. This article focuses on with Petri nets (PNs) a new scheme AQM. innovative AQM based discrete dynamical model random early detection (RED) for controlling bifurcations and chaos Internet congestion control. It incorporates parameters (α,β) that make possible...

In this paper, the AQM controller of a first-order controller’s type is proposed. The model of TCP/AQM is described by a second-order system with time delay. An analytical approach to analyze the stability of TCP/AQM Networks is used, based on the D-decomposition method and lemma Kharitonov for quasipolynomial. The proposed method for design first-order controller is verified and compared with ...

The existing TCP/AQM model does not consider the impact of unresponsive flows to AQM algorithms, which contributes to about 70%~80% of the Internet flows. It is important to analysze the performance of AQM algorithms taking into account of the unresponsive flows. An extended GI/M/1/N queueing system is established by means of embedding the AQM mechanism into the standard GI/M/1/N queueing syste...

Active Queue Management (AQM) is an important problem in networking. In this paper, we propose a general functional optimization model for designing AQM schemes. Unlike the previous static function optimization models based on the artificial notion of utility function, the proposed dynamic functional optimization formulation allows us to directly characterize the desirable system behavior of AQ...

Two key mechanisms of the Internet are congestion control in Transmission Control Protocol (TCP) and Active Queue Management (AQM) routers. The former divides bandwidth between flows prevents from collapse. Simultaneously, latter informs hosts forthcoming by preventive dropping packets network nodes. Although these two may severely interact with each other, they often being researched independe...

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, an adaptive fuzzy AQM is designed to congestion avoidance in TCP/AQM networks. This kind of control action has r...

Over the last decade numerous Active Queue Management (AQM) schemes have been proposed in the literature. Many of these studies have been directed towards improving congestion control in best-effort networks. However, there has been a notable lack of standardised performance evaluation of AQM schemes. A rigorous study of the influence of parameterisation on specific schemes and the establishmen...

This talk reports on an analytic derivation of the complete stability region of the Proportional Integral (PI) Active Queue Management (AQM). The stability region represents the entire set of the feasible design parameters, i.e., the proportional and the integral gains, that stabilize the closed-loop TCP-AQM system. AQM controls congestion by proactively marking or dropping packets before the i...

AQM attempts to achieve high network utilization with low loss and delay by regulating queues at bottleneck links to provide useful feedback to TCP sources. While many AQM algorithms have been proposed, most suffer from instability, require careful configuration of non-intuitive control parameters, or are not practical because of slow response to dynamic traffic changes. In this paper, we intro...