CYLGOct 25, 2022

CarbonTag: A Browser-Based Method for Approximating Energy Consumption of Online Ads

arXiv:2211.00071v34 citationsh-index: 19
Originality Incremental advance
AI Analysis

This addresses the environmental impact of online advertising for advertisers and website operators, offering a way to reduce carbon emissions, though it is incremental as it builds on existing energy measurement concepts.

The study tackled the problem of measuring energy consumption in online ad rendering, introducing CarbonTag, a browser-based method to approximate it, and found that hundreds of billions of ads are delivered daily, with the method enabling classification of ads by energy efficiency.

Energy is today the most critical environmental challenge. The amount of carbon emissions contributing to climate change is significantly influenced by both the production and consumption of energy. Measuring and reducing the energy consumption of services is a crucial step toward reducing adverse environmental effects caused by carbon emissions. Millions of websites rely on online advertisements to generate revenue, with most websites earning most or all of their revenues from ads. As a result, hundreds of billions of online ads are delivered daily to internet users to be rendered in their browsers. Both the delivery and rendering of each ad consume energy. This study investigates how much energy online ads use in the rendering process and offers a way for predicting it as part of rendering the ad. To the best of the authors' knowledge, this is the first study to calculate the energy usage of single advertisements in the rendering process. Our research further introduces different levels of consumption by which online ads can be classified based on energy efficiency. This classification will allow advertisers to add energy efficiency metrics and optimize campaigns towards consuming less possible.

Foundations

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