GUENNEBAUD, Gaël; BUGEAU, Aurélie; DUDOUIT, Antoine

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Licence d’utilisation du document

GUENNEBAUD, Gaël
Melting the frontiers between Light, Shape and Matter [MANAO]

BUGEAU, Aurélie
Institut universitaire de France [IUF]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Université de Bordeaux [UB]

DUDOUIT, Antoine
Laboratoire Bordelais de Recherche en Informatique [LaBRI]

Langue

Communication dans un congrès avec actes

Ce document a été publié dans

ICT4S - International Conference on Information and Communications Technology for Sustainability, 2023-06-05, Rennes.

Résumé en anglais

Assessing the energy consumption or carbon footprint of data distribution of video streaming services is usually carried out through energy or carbon intensity figures (in Wh or gCO2e per GB). In this paper, we first review the reasons why such approaches are likely to lead to misunderstandings and potentially to erroneous conclusions. To overcome those shortcomings, we propose a new methodology whose key idea is to consider a video streaming usage at the whole scale of a territory, and evaluate the impact of this usage on the network infrastructure. At the core of our methodology is a parametric model of a simplified network and Content Delivery Network (CDN) infrastructure, which is automatically scaled according to peak usage needs. This allows us to compare the power consumption of this infrastructure under different scenarios, ranging from a sober baseline to a generalized use of high bitrate videos. Our results show that classical efficiency indicators do not reflect the power consumption increase of more intensive Internet usage, and might even lead to misleading conclusions.< Réduire

Mots clés en anglais

Access network

Internet power consumption

video streaming

peak usage

URI

https://oskar-bordeaux.fr/handle/20.500.12278/181342

Project ANR

Repenser la post-production d'archives avec des méthodes à patch, variationnelles et par apprentissage - ANR-19-CE23-0027

Origine

Importé de hal

Unités de recherche

Laboratoire Photonique, Numérique et Nanosciences (LP2N) - UMR 5298