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The performance of TCP-based applications depends on the selection of queue management mechanism in network routers and how well its control decisions are made. Fast Congestion Notification (FN) mechanism enables the two control decisions, packet admissions and congestion control directing, to be made together. This permits sending congestion avoidance notification as early as required, even if the...
In this paper, an improved adaptive active queue management scheme based on neuron gradient learning is presented, which integrates the flow identification mechanism of CHOKe with neuron-based adaptive AQM algorithm. This scheme proposed can identify both responsive and unresponsive flows, and simultaneously penalize unresponsive flows to provide fairness for all kinds of flows. On the other hand,...
Active Queue Management (AQM) algorithm is important to manage buffers and transfer packets for wired/wireless networks. However, the unresponsive flows to the network congestion control is dangerous to the network equilibrium and Quality of Service (QoS), especially from the point of network resource allocation. In some certain scenarios, the limited network resource (buffers) can be occupied by...
The gateway queuing performance depends on the marking/dropping probability function chosen. This function plays an important role in managing the gateway buffer. It maps the current congestion level to marking/dropping probability that is applied to each arriving packet. Active queue management mechanisms drop arriving packets probabilistically before the gateway buffer gets full. Fast Congestion...
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