Metrics for Sustainability in Data Centers

Metrics for Sustainability in Data Centers
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DOI:
10.1145/3630614.3630622
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发表时间:
2023-10
期刊:
ACM SIGENERGY Energy Informatics Review
影响因子:
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通讯作者:
Anshul Gandhi;K. Ghose;Kartik Gopalan;Syed Rafiul Hussain;Dongyoon Lee;David;Liu;Zhen Liu;P. McDaniel;Shuai Mu;E. Zadok
Anshul Gandhi;K. Ghose;Kartik Gopalan;Syed Rafiul Hussain;Dongyoon Lee;David;Liu;Zhen Liu;P. McDaniel;Shuai Mu;E. Zadok
中科院分区:
其他
文献类型:
--
作者:
Anshul Gandhi;K. Ghose;Kartik Gopalan;Syed Rafiul Hussain;Dongyoon Lee;David;Liu;Zhen Liu;P. McDaniel;Shuai Mu;E. Zadok

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尽管社区多次呼吁提高计算的可持续性,但在可持续计算的关键先决条件之一-全面定义和衡量计算可持续性的能力方面还没有取得足够的进展。本立场书提出了旨在衡量数据中心端到端可持续性足迹的指标。为了实现有用的可持续计算工作,这些指标可以跟踪各种粒度的可持续性足迹-从单个请求到整个数据中心。所提出的指标还可以通过激励最终用户和开发人员参与数据中心的可持续计算工作来广泛影响可持续计算实践。
Despite several calls from the community for improving the sustainability of computing, sufficient progress is yet to be made on one of the key prerequisites of sustainable computing---the ability to define and measure computing sustainability holistically. This position paper proposes metrics that aim to measure the end-to-end sustainability footprint in data centers. To enable useful sustainable computing efforts, these metrics can track the sustainability footprint at various granularities---from a single request to an entire data center. The proposed metrics can also broadly influence sustainable computing practices by incentivizing end-users and developers to participate in sustainable computing efforts in data centers.