全球分布的低碳云联盟的最佳规模

2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid) Pub Date : 2023-05-01 DOI:10.1109/CCGrid57682.2023.00028

M. Vasconcelos, Daniel Cordeiro, Georges Da Costa, F. Dufossé, J. Nicod, V. Rehn-Sonigo

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引用次数: 0

摘要

近年来，IT技术的碳足迹一直备受关注。这种担忧主要集中在数据中心的电力消耗上;许多云供应商承诺100%使用可再生能源。然而，这种方法忽略了设备制造的影响。在本文中，我们考虑了地理分布云的可再生能源的尺寸问题，同时考虑了所考虑位置的电网电力消耗和太阳能电池板和电池制造的碳影响。我们设计了一个线性程序，在一年内优化云尺寸，考虑到数据中心的全球位置，实际工作负载轨迹和太阳辐照值。我们的研究结果表明，与完全由太阳能供电的云相比，碳足迹减少了约30%，与100%电网供电的云相比，碳足迹减少了85%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Optimal sizing of a globally distributed low carbon cloud federation

The carbon footprint of IT technologies has been a significant concern in recent years. This concern mainly focuses on the electricity consumption of data centers; many cloud suppliers commit to using 100% of renewable energy sources. However, this approach neglects the impact of device manufacturing. We consider in this paper the question of dimensioning the renewable energy sources of a geographically distributed cloud with considering the carbon impact of both the grid electricity consumption in the considered locations and the manufacturing of solar panels and batteries. We design a linear program to optimize cloud dimensioning over one year, considering worldwide locations for data centers, real-life workload traces, and solar irradiation values. Our results show a carbon footprint reduction of about 30% compared to a cloud fully supplied by solar energy and of 85% compared to the 100% grid electricity model.

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来源期刊

2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid)

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