DocumentCode :
1373087
Title :
Applications of neurocomputing in traffic management of ATM networks
Author :
Habib, Ibrahim W.
Author_Institution :
Dept. of Electr. Eng., City Univ. of New York, NY, USA
Volume :
84
Issue :
10
fYear :
1996
fDate :
10/1/1996 12:00:00 AM
Firstpage :
1430
Lastpage :
1441
Abstract :
In the near future, high speed integrated networks, employing asynchronous transfer mode (ATM) cell switching and multiplexing technique, will be used to provide new and diverse mixture of services and applications. Multimedia teleconferencing, video-on-demand, television broadcasting, and distant learning are some examples of these emerging services. The ATM technique is based on the principle of statistical multiplexing, which is flexible enough to support different types of traffic while providing efficient utilization of the network´s resources. New classes of techniques such as neural networks and fuzzy logic have many adaptive, learning and computational capabilities that can be utilized to design effective traffic management algorithms. The subject of this paper is to demonstrate how such neurocomputing techniques can be used to address ATM traffic management issues such as traffic characterization, call admission control, usage parameters control and feedback congestion control
Keywords :
asynchronous transfer mode; neural nets; telecommunication computing; telecommunication congestion control; telecommunication traffic; ATM networks; asynchronous transfer mode; call admission control; cell switching; feedback congestion control; multimedia teleconferencing; neural networks; neurocomputing; statistical multiplexing; traffic characterization; traffic management; usage parameters control; Asynchronous transfer mode; Communication system traffic control; Computer networks; Digital multimedia broadcasting; Fuzzy logic; Multimedia communication; Neural networks; TV broadcasting; Telecommunication traffic; Teleconferencing;
fLanguage :
English
Journal_Title :
Proceedings of the IEEE
Publisher :
ieee
ISSN :
0018-9219
Type :
jour
DOI :
10.1109/5.537109
Filename :
537109
Link To Document :
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