Title :
Neural networks in B-ISDN flow control: ATM traffic prediction or network modeling?
Author :
Neves, Joaquim E. ; Leitäo, Mário J. ; Almeida, Luìs B.
Author_Institution :
Porto Univ., Portugal
fDate :
10/1/1995 12:00:00 AM
Abstract :
The authors discuss a technique that offers the combination of shared bandwidth and rejection rate parameters, together with the quality of service predicted by neural networks in a novel strategy for connection admission control and call routing
Keywords :
B-ISDN; asynchronous transfer mode; neural nets; telecommunication computing; telecommunication congestion control; telecommunication network routing; telecommunication traffic; ATM traffic prediction; B-ISDN flow control; call routing; connection admission control; network modeling; neural networks; quality of service; rejection rate parameters; shared bandwidth; Admission control; Asynchronous transfer mode; B-ISDN; Communication system traffic control; Intelligent networks; Neural networks; Predictive models; Quality of service; Routing; Traffic control;
Journal_Title :
Communications Magazine, IEEE
