Numérique Responsable
Network energy use not directly proportional to data volume: The power model approach for more reliable network energy consumption calculations
It is commonly assumed that data volume and network energy consumption are directly proportional, a notion perpetuated by numerous studies and media coverage. This paper challenges this assumption, o...
Lancement du standard GARM/Ad Net Zero
Ad Net Zero (ANZ) et le GARM (Global Alliance for Responsible Media) ont publié la première version du Global Media Sustainability Framework - une série de normes visant à améliorer la mesure cohérente et comparable des émissions de gaz à effet de serre des campagnes Numériques, Télé, Print, Radio/Audio, Affichage et Cinéma.
Ataraxie numérique [As we may...]
Nous chercherons à travers les articles proposés sur ce site à étudier les façons dont nous pourrions écrire, chercher, enseigner, vivre, dans le monde numérique qui s'offre - ou plutôt qui s'impose - à nous. Et comment ce passage généralisé au support numérique modifie jusqu'à la façon dont nous pourrions penser.
(7) Et si notre approche de l’écoconception des services numériques était erronée ? | LinkedIn
Avec l’évolution globale des émissions de gaz à effet de serre et l’explosion du numérique, il devient essentiel de restreindre l’impact des services numériques Préambule Qu’est-ce que l’écoconception ? L’écoconception est une démarche qui vise à réduire les impacts environnementaux des produits tou
Digital Sustainability Checklist (v1.0)
Intro
BETA,This is currently a prototype. Please share any feedback and ideas you have to improve it with @chudders.
A digital sustainability checklist to help you reduce the environmental impacts of your digital products and services
Why is this important? (from the W3C)
The digital industry is...
Carbon accounting in the Cloud: a methodology for allocating emissions across data center users
This paper presents a methodology for allocating energy consumption to multiple users of shared data center machines, infrastructure, and software. Google uses this methodology to provide carbon reporting data for enterprise customers of multiple Google products, including Google Cloud and Workspace. The approach documented here advances the state-of-the-art of large scale Cloud carbon reporting systems. It uses detailed, granular measurement data on machine energy consumption. In addition, it uses physical factors for allocating energy consumption and carbon emissions--preferred by the Greenhouse Gas Protocol's Scope 3 Reporting Standard. Specifically, the approach described here allocates machine energy consumption based on a combination of data center resource reservations and hourly measured resource usage. It also accounts for Google's own internal use of shared software services, reallocating energy use to the users of those shared services. Finally, it uses hourly, location-specific estimates of carbon intensity to precisely measure carbon emissions of users in a global fleet of data centers.
GitHub - Orange-OpenSource/ai-power-measures-sharing: This project defines a json ontology standard describing a power consumption measure in a given software/hardware context, noticeably in machine learning tasks. It also provides the tooling for conversion to tabular datasets.
This project defines a json ontology standard describing a power consumption measure in a given software/hardware context, noticeably in machine learning tasks. It also provides the tooling for con...