CarbonTag:基于浏览器的在线广告能耗近似法

IF 3 3区 计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE IEEE Transactions on Sustainable Computing Pub Date : 2023-06-16 DOI:10.1109/TSUSC.2023.3286916
José González-Cabañas;Patricia Callejo;Rubén Cuevas;Steffen Svartberg;Tommy Torjesen;Ángel Cuevas;Antonio Pastor;Mikko Kotila
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引用次数: 0

摘要

能源是当今最严峻的环境挑战。导致气候变化的碳排放量在很大程度上受到能源生产和消费的影响。测量和减少服务的能源消耗是减少碳排放对环境造成的不利影响的关键一步。数以百万计的网站依靠在线广告创收,大多数网站的大部分或全部收入都来自广告。因此,每天有数千亿个在线广告被传送到互联网用户的浏览器中。每个广告的传送和呈现都需要消耗能源。本研究调查了在线广告在渲染过程中的能耗,并提供了一种在渲染广告时预测能耗的方法。据作者所知,这是第一项计算单个广告在渲染过程中能耗的研究。我们的研究进一步引入了不同的能耗等级,可根据能效对在线广告进行分类。通过这种分类,广告商可以增加能效指标,并优化广告活动,尽可能降低能耗。
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CarbonTag: A Browser-Based Method for Approximating Energy Consumption of Online Ads
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.
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来源期刊
IEEE Transactions on Sustainable Computing
IEEE Transactions on Sustainable Computing Mathematics-Control and Optimization
CiteScore
7.70
自引率
2.60%
发文量
54
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