A benchmark for graph neural networks for computer network modeling

Carol Bosch, Sergi

View/Open

143477.pdf (3,481Mb)

View Usage Statistics

Cita com:

Show full item record

Carol Bosch, Sergi

Tutor / directorCabellos Aparicio, Alberto

; Arias Vicente, Marta

Document typeMaster thesis

Date2019-06-27

Rights accessOpen Access

Abstract

Today, network operators still lack functional network models able to make accurate predictions of end-to-end Key Performance Indicators (e.g., delay).This thesis introduces the benchmark for computer network modeling using the RouteNet Graph Neural Network as well as a routing creation algorithm.

SubjectsGraph theory, Machine learning, Neural networks (Computer science), Grafs, Teoria de, Aprenentatge automàtic, Xarxes neuronals (Informàtica)

DegreeMÀSTER UNIVERSITARI EN INNOVACIÓ I RECERCA EN INFORMÀTICA (Pla 2012)

URIhttp://hdl.handle.net/2117/168587

Collections

Màsters Oficials - Master in Innovation and Research in Informatics - MIRI [311]

View Usage Statistics

Show full item record

Files	Description	Size	Format	View
143477.pdf		3,481Mb	PDF	View/Open

All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder

UPCommons. Global access to UPC knowledge

A benchmark for graph neural networks for computer network modeling

View/Open

Browse