Using ns-2 simulations, this paper evaluates an Adaptive Explicit Congestion Notification (AECN) router. By receiving round-trip time (RTT) source hints from each TCP flow, AECN divides flows into flow groups based on RTT ranges. AECN uses distinct flow group drop probabilities and a mark front scheme to provide higher goodput and better fairness than Random Early Detection (RED) and Explicit C...

Pricing-based Active Queue Management (AQM), such as Random Exponential Marking (REM), outperforms other probabilistic counterpart techniques, like Random Early Detection (RED), in terms of both high utilization and negligible loss and delay. However, the pricing-based protocols do not take account of unresponsive flows that can significantly alter the subsequent rate allocation. This letter pr...

Congestion in a network may occur when the load on the network is greater than the capacity of the network In this paper we analyzed active queue management algorithms with respect to their abilities of maintaining high resource utilization, identifying and restricting disproportionate bandwidth usage, and their deployment complexity. We compare the performance of RED, REM, and GREEN based on s...

A Combined Input and Output Queued (CIOQ) switch with a certain speedup of S (1<S<N) can achieve 100% throughput and offer QoS guarantees. In this paper, we present the deployment of Random Early Detection (RED) on a CIOQ switch that has priority queues with shared buffer (class based switch). We first give an estimated model to concrete that one RED controller per output port is sufficient for...

This paper proposes an adaptive variant of Random Early Detection (RED) gateway queue management for packet-switched networks via a discrete state analog of the non-stationary Master Equation i.e. Markov process. The computation of average queue size, which appeared in the original RED algorithm, is altered by introducing a probability P (l, t), which defines the probability of having l number ...

This paper studies self-configuring Random Early Detection (RED) gateways for Quality of Service (QoS) networks. Existing work only considers the adaptive parameter setting of RED gateways for networks with best effort flows. This paper focuses on QoS networks in which both assured and best effort flows co-exist. RED with in/out (RIO) is an extension of RED for QoS networks, which maintains two...

This paper proposes a novel scheme to improve the fairness of active queue management congestion control. In order to reduce the increasing rates of packet loss caused by the exponential increase of network traffic, IETF (Internet Engineering Task Force) is considering the deployment of active queue management techniques such as RED (Random Early Detection). RED is a simple scheme, but it does ...

AQM (Active Queue Management) mechanisms support the end-to-end congestion control mechanism of TCP (Transmission Control Protocol). Several AQM mechanisms have been recently proposed and studied by many researchers. One of popular AQM mechanisms is the RED (Random Early Detection) gateway, which randomly discards arriving packets. Although its steady state performance has been fully investigat...

Random early detection (RED) is the most popular active queue management algorithm that is used by the Internet routers. This paper proposes a neuro-fuzzy controller which enhances the network performance by dynamically tuning of RED's maxp parameter. The controller first learns the network behavior against maxp variations and then adjusts maxp. Simulation results in ns-2 environment show that,...

Packet networks require queues (buffers) to absorb short term arrival rate fluctuations. Yet network implementors have always observed that queues at bottlenecks tend to fill and stay filled, which contributes extra delay and removes the ability to absorb bursts. In [1] Floyd and Jacobson proposed the RED (Random Early Detection) active queue management algorithm. RED is simple, robust and quit...