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Quality of Service in Converged Systems with Elements Controlled by Neural Network

By Michal Polívka

Abstract

The Quality of Service (QoS) is in converged systems an important parameter. The dissertation thesis deals with research of QoS implementation into a newly developed network element. There was designed and implemented new protocol, based on the IP. The dissertation thesis deals with proposal of a new network element – the switch controlled by a neural network. During the research have been measured switches cross a performance classes. On the base of the measurement was designed the new four-port switch with switch fabric build on crossbar switch with an external control. The switch was designed with maximum QoS support. The switch fabric is controlled by the feedforward backpropagation neural network. The designed switch was modeled in the MATLAB and Simulink. The simulations prove that developed solution is functional

Topics: Simulink; hardware queues; softwarové fronty; VNUML.; Přepínač; Switch; switch; MATLAB; software queues; neuronová síť; hardwarové fronty; neural network
Publisher: Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií
Year: 2014
OAI identifier: oai:invenio.nusl.cz:233647
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