Neural Congestion Control Algorithm in ATM Networks with Multiple Node
In ATM networks, congestion control is a distributed algorithm to share network resources among competing users.It is important in situation where the availability of resources and the set of competing users vary over time unpredictably, round trip delay is uncertain and constraints on queue, rate and bandwidth are saturated, which results in wasted bandwidth and performance degradation. A neural congestion control algorithm is proposed by real-time scheduling between the self-tuning neural controller and the modified EFCI algorithm, which makes the closed-loop systems more stable and robust with respect to uncertainties and more fairness in resources allocation. Simulation results demonstrated the effectiveness of the proposed controller.
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