ABR traffic management using minimal resource allocation (neural) networks

Computer Communications

Volumn 25, Issue 1, 2002, Pages 9-20

  Hock Soon, N ^a   Sundararajan, N ^a   Saratchandran, P ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

ABR flow control; ERICA; OPNET; RBF network

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; ASYNCHRONOUS TRANSFER MODE; BIT ERROR RATE; CONGESTION CONTROL (COMMUNICATION); NONLINEAR SYSTEMS; RADIAL BASIS FUNCTION NETWORKS; RESOURCE ALLOCATION; THROUGHPUT; TIME VARYING SYSTEMS;

AVAILABLE BIT RATE (ABR);

TELECOMMUNICATION TRAFFIC;

EID: 0036027642     PISSN: 01403664     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0140-3664(01)00331-0     Document Type: Article

References (17)

1. Traffic control and congestion control in B-ISDN
2. Flow control in ATM networks: A survey
3. Neurocomputing in high speed networks
4. Computational and artificial intelligence in high speed networks
5. A neural network controller for congestion control in ATM multiplexers
6. Neural congestion controller for ATM using OPNET (Distinguished Paper Award)
7. Adaptive neural congestion controller for ATM network with heavy traffic
8. Performance evaluation of a sequential minimal radial basis function (RBF) neural network learning algorithm
9. A sequential learning scheme for function approximation using minimal radial basis function neural networks
10. Modeling traffic management in ATM networks with OPNET (Distinguished Paper Award)
11. The ERICA switch algorithm for ABR traffic management in ATM networks
12. Allocating fair rates for available bit rate service in ATM networks
13. A new rate-based switch algorithm for ABR traffic to achieve max-min fairness with analytical approximation and delay adjustment
14. A resource allocating network for function interpolation
15. A function estimation approach to sequential learning with neural networks