Applications of neurocomputing in traffic management of ATM networks
作者： I.W. Habib
DOI: 10.1109/5.537109
关键词:
摘要: In the near future, high speed integrated networks, employing asynchronous transfer mode (ATM) cell switching and multiplexing technique, will be used to provide new diverse mixture of services applications. Multimedia teleconferencing, video-on-demand, television broadcasting, distant learning are some examples these emerging services. The ATM technique is based on principle statistical multiplexing, which flexible enough support different types traffic while providing efficient utilization network's resources. New classes techniques such as neural networks fuzzy logic have many adaptive, computational capabilities that can utilized design effective management algorithms. subject this paper demonstrate how neurocomputing address issues characterization, call admission control, usage parameters control feedback congestion control.
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