A resource-allocating network for function interpolation
Neural Computation
A function estimation approach to sequential learning with neural networks
Neural Computation
A neural network controller for congestion control in ATM multiplexers
Computer Networks and ISDN Systems
Traffic management for the available bit rare (ABR) service in asynchronous transfer mode (ATM) networks
The ERICA switch algorithm for ABR traffic management in ATM networks
IEEE/ACM Transactions on Networking (TON)
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 3
Survey: Flow control in ATM networks: a survey
Computer Communications
Allocating fair rates for available bit rate service in ATM networks
IEEE Communications Magazine
Guest Editorial Computational and Artificial Intelligence in High Speed Networks
IEEE Journal on Selected Areas in Communications
IEEE Transactions on Neural Networks
Error tolerance based support vector machine for regression
Neurocomputing
Bandwidth prediction and congestion control for ABR traffic based on neural networks
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
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This paper presents an adaptive available bit rate (ABR) traffic management scheme in asynchronous transfer mode (ATM) networks using the newly developed minimal resource allocation network (MRAN). MRAN generates a minimal radial basis function (RBF) neural network by adding and pruning the hidden neurons based on the input data and is well suited for on-line adaptive control of time varying nonlinear systems. In this paper, the ATM traffic is modeled using the network simulation package OPNET. The performance of MRAN-controller is compared with the conventional ABR control scheme explicit rate indication with congestion avoidance (ERICA) for different traffic scenarios such as bursty and Variable Bit Rate (VBR) traffic. Results indicate that MRAN-controller performs better than ERICA by keeping the queue length and delay to a minimum while maintaining a higher link utilization and throughput.