Towards Estimating the Carbon Footprint of Video Streaming

Video streaming dominates the Internet traffic. Assessing the carbon footprint of video streaming has received recently a significant attention with a number of models proposed to associate a CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> cost to one hour of streaming. In this work, we compare the modeling assumptions and computation methods used by five recent works to inform the debate. Indeed, initial results can be at odds, with up to one order of magnitude difference in the estimates. Our contributions are: (i) we relate the difference in the results primarily to the perimeter of the study, e.g. including production cost or not, (ii) we question some of the modeling assumptions made using a real deployment of a streaming server in a controlled environment with up to 2000 clients and (iii) we propose a technique to reconcile the models and obtain a CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> estimate in between 60 and $\mathbf{1 4 0}$ grams when considering the average worldwide carbon intensity of electricity.

Authors

Institutions

Publication Details

Published
2025-10-27
DOI
https://doi.org/10.1109/isncc66965.2025.11250443
Primary Topic
Green IT and Sustainability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Towards Estimating the Carbon Footprint of Video Streaming

Joanna Mouliérac, Zhejiayu Ma, Guillaume Urvoy-Keller, Marco Dinuzzi
Green IT and Sustainability
article

Towards Estimating the Carbon Footprint of Video Streaming

Joanna Mouliérac, Zhejiayu Ma, Guillaume Urvoy-Keller, Marco Dinuzzi
article en

Abstract

Video streaming dominates the Internet traffic. Assessing the carbon footprint of video streaming has received recently a significant attention with a number of models proposed to associate a CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> cost to one hour of streaming. In this work, we compare the modeling assumptions and computation methods used by five recent works to inform the debate. Indeed, initial results can be at odds, with up to one order of magnitude difference in the estimates. Our contributions are: (i) we relate the difference in the results primarily to the perimeter of the study, e.g. including production cost or not, (ii) we question some of the modeling assumptions made using a real deployment of a streaming server in a controlled environment with up to 2000 clients and (iii) we propose a technique to reconcile the models and obtain a CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> estimate in between 60 and $\mathbf{1 4 0}$ grams when considering the average worldwide carbon intensity of electricity.

Institut national de recherche en sciences et technologies du numérique (FR), Academy of Broadcasting Science (CN)
Openalex Percentile: Top 65%
Green IT and Sustainability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Towards Estimating the Carbon Footprint of Video Streaming — Joanna Mouliérac, Zhejiayu Ma, et al. · (2025) | TGRS Research Map | TGRS