Active queue management (AQM) is an important function in today’s core routers that will be required in the future optical internet core. A recently reported novel architecture for optical packet buffers is extended by implementing necessary AQM functions. The suggested AQM scheme is validated and explore via simulations.

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...

In recent years, AQM (Active Queue Management) mechanisms, which support the end-to-end congestion control mechanism of TCP by performing congestion control at a router, have been actively studied by many researchers. AQM mechanisms usually have several control parameters, and their effectiveness depends on a setting of those control parameters. Therefore, issues on parameter tuning of several ...

We evaluate the performance of modern delay-based active queue management (AQM) algorithms in downstream DOCSIS 3.0 cable environments. Our simulation-based study involves scenarios that include tiered service levels and application workloads that include FTP, HTTP-based adaptive streaming (HAS), VoIP, and web traffic. Our results show that AQM maintains target queuing delays and consequently p...

QoS-enabled networks consist of major functions: one is a TCP congestion control (TCC) mechanism at a source/sink node and the other is an active queue management (AQM) scheme at an intermediate node. In this paper, we introduce the major TCC mechanisms and AQM schemes, and provide analytical models and simulation-based comparisons of these TCC/AQM schemes for the purpose of identifying the rec...

We use Active Queue Management (AQM) strategy for congestion avoidance in Transmission Control Protocol (TCP) networks to regulate queue size close to a reference level. In this paper we present two efficient and new AQM systems as a queue controller. These methods are designed using Improved Neural Network (INN) and Adaptive Neuro-Fuzzy Inference Systems (ANFIS). Our aim is low queue variation...

In this study, the disturbance and uncertainty on nonlinear and time varying systems as Active Queue Management (AQM) is analyzed. Many of AQM schemes have been proposed to regulate a queue size close to a reference level with the least variance. We apply a normal range of disturbances and uncertainty such as variable user numbers, variable link capacity, noise, and unresponsive flows, to the t...

In this paper we present new model-based controllers for active queue management (AQM) supporting TCP ows. Our control design is based on linearization of a previously developed TCP model using uid ow and stochastic di erential equations. An AQM using a simple PI controller is shown to signi cantly outperform RED AQM. However, we show that both AQMs are unable to maintain performance as the num...

Dewan Md. Emdadul Hoque ([email protected]) Muntasirur Rahman ([email protected]) Sk. Masum Billah ([email protected]) Michael Savic ([email protected]) AQM Rezaul Karim ([email protected]) Enayet Karim Chowdhury ([email protected]) Altaf Hossain ([email protected]) SAJ Md. Musa ([email protected]) Harish Kumar ([email protected]) Sudhansh Malhotra ([email protected]....

Rapid development of telecommunication technologies and the ever growing network users demands have made network congestion a prominent problem in today’s Internet. Congestion not only brings significant performance degradation to the network, but also hurts the Quality-of-Service (QoS) that the users receive and even raises up some security concerns such as Denial-of-Service (DoS) attacks. The...