Journal ArticleDOI
ATM communications network control by neural networks
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TLDR
A learning method that uses neural networks for service quality control in the asynchronous transfer mode (ATM) communications network is described and a training data selection method called the leaky pattern table method is proposed to learn precise relations.Abstract:
A learning method that uses neural networks for service quality control in the asynchronous transfer mode (ATM) communications network is described. Because the precise characteristics of the source traffic are not known and the service quality requirements change over time, building an efficient network controller which can control the network traffic is a difficult task. The proposed ATM network controller uses backpropagation neural networks for learning the relations between the offered traffic and service quality. The neural network is adaptive and easy to implement. A training data selection method called the leaky pattern table method is proposed to learn precise relations. The performance of the proposed controller is evaluated by simulation of basic call admission models. >read more
Citations
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Journal ArticleDOI
A comprehensive survey on machine learning for networking: evolution, applications and research opportunities
Raouf Boutaba,Mohammad A. Salahuddin,Noura Limam,Sara Ayoubi,Nashid Shahriar,Felipe Estrada-Solano,Felipe Estrada-Solano,Oscar Mauricio Caicedo +7 more
TL;DR: This survey delineates the limitations, give insights, research challenges and future opportunities to advance ML in networking, and jointly presents the application of diverse ML techniques in various key areas of networking across different network technologies.
Journal ArticleDOI
Survey of traffic control schemes and protocols in ATM networks
J.J. Bae,Tatsuya Suda +1 more
TL;DR: The authors survey a number of important research topics in ATM (asynchronous transfer mode) networks, including mathematical modeling of various types of traffic sources, congestion-control and error-control schemes for ATM networks, and priority schemes to support multiple classes of traffic.
Journal ArticleDOI
Broad-band ATM network architecture based on virtual paths
TL;DR: The virtual path concept, which exploits the ATM's capabilities, is proposed to construct an efficient and economic network to provide efficiently for networks with dynamic reconfiguration capability which will enhance network performance.
Patent
Neural network/expert system process control system and method
TL;DR: In this paper, a neural network/expert system process control system and method combines the decision-making capabilities of expert systems with the predictive capabilities of neural networks for improved process control.
Journal ArticleDOI
Predictive dynamic bandwidth allocation for efficient transport of real-time VBR video over ATM
TL;DR: The overall dynamic bandwidth-allocation scheme presented is shown to be promising and practically feasible in obtaining efficient transmission of real-time video traffic.
References
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Proceedings ArticleDOI
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