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Understanding the modeling of computer network delays using neural networks

Autor
Mestres, A.; Alarcon, E.; Ji, Y.; Albert Cabellos-Aparicio
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
ACM SIGCOMM 2018 Workshop on Big Data Analytics and Machine Learning for Data Communication Networks
Any de l'edició
2018
Data de presentació
2018-08-20
Llibre d'actes
Big-DAMA'18: proceedings of the 2018 Workshop on Big Data Analytics and Machine Learning for Data Communication Networks: part of SIGCOMM 2018: August 20, 2018: Budapest, Hungary
Pàgina inicial
46
Pàgina final
52
DOI
https://doi.org/10.1145/3229607.3229613 Obrir en finestra nova
Projecte finançador
Diseñando una infraestructura de red 5G definida mediante conocimiento hacia la próxima sociedad digital
Repositori
http://hdl.handle.net/2117/125142 Obrir en finestra nova
https://arxiv.org/abs/1807.08652 Obrir en finestra nova
URL
https://dl.acm.org/citation.cfm?id=3229613 Obrir en finestra nova
Resum
Recent trends in networking are proposing the use of Machine Learning (ML) techniques for the control and operation of the network. In this context, ML can be used as a computer network modeling technique to build models that estimate the network performance. Indeed, network modeling is a central technique to many networking functions, for instance in the field of optimization, in which the model is used to search a configuration that satisfies the target policy. In this paper, we aim to provide...
Paraules clau
Artificial intelligence, Big data, Computer networks, Convolutional codes, Data communication systems, KDN, Learning systems, ML, Modeling, Models, Network characteristics, Network modeling, Networking, Neural networks model, Practical guidelines, Recent trends, SDN, Traffic intensity, Traffic matrices
Grup de recerca
CBA - Sistemes de Comunicacions i Arquitectures de Banda Ampla
EPIC - Energy Processing and Integrated Circuits
PERC-UPC - Centre de Recerca d'Electrònica de Potència UPC

Participants