Deep neural networks for network routing

In this work, we propose a Deep Learning (DL) based solution to the problem of routing traffic flows in computer networks. Routing decisions can be made in different ways depending on the desired objective and, based on that objective function, optimal solutions can be computed using a variety of te...

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Detalhes bibliográficos
Autor principal: Reis, João (author)
Outros Autores: Rocha, Miguel (author), Phan, Truong Khoa (author), Griffin, David (author), Le, Franck (author), Rio, Miguel (author)
Formato: conferencePaper
Idioma:eng
Publicado em: 2019
Assuntos:
Computer networks
Neural nets
Telecommunication network routing
Telecommunication traffic
Traffic flows
Routing decisions
Mixed integer linear programming
Complex optimization problems
Routing framework
Deep neural networks
Network routing
DL model
Routing
Linear programming
Neural networks
Internet
Optimization
Routing protocols
Science & Technology
Texto completo:http://hdl.handle.net/1822/64430
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/64430

Texto Completo

http://hdl.handle.net/1822/64430

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