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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Bibliographic Details
Main Author: Reis, João (author)
Other Authors: Rocha, Miguel (author), Phan, Truong Khoa (author), Griffin, David (author), Le, Franck (author), Rio, Miguel (author)
Format: conferencePaper
Language:eng
Published: 2019
Subjects:
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
Online Access:http://hdl.handle.net/1822/64430
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/64430

Internet

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

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