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Enabling Sustainable Clouds: The Case for Virtualizing the Energy System

Published: 01 November 2021 Publication History

Abstract

Cloud platforms' growing energy demand and carbon emissions are raising concern about their environmental sustainability. The current approach to enabling sustainable clouds focuses on improving energy-efficiency and purchasing carbon offsets. These approaches have limits: many cloud data centers already operate near peak efficiency, and carbon offsets cannot scale to near zero carbon where there is little carbon left to offset. Instead, enabling sustainable clouds will require applications to adapt to when and where unreliable low-carbon energy is available. Applications cannot do this today because their energy use and carbon emissions are not visible to them, as the energy system provides the rigid abstraction of a continuous, reliable energy supply. This vision paper instead advocates for a "carbon first" approach to cloud design that elevates carbon-efficiency to a firs--class metric. To do so, we argue that cloud platforms should virtualize the energy system by exposing visibility into, and software-defined control of, it to applications, enabling them to define their own abstractions for managing energy and carbon emissions based on their own requirements.

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      cover image ACM Conferences
      SoCC '21: Proceedings of the ACM Symposium on Cloud Computing
      November 2021
      685 pages
      ISBN:9781450386388
      DOI:10.1145/3472883
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      Published: 01 November 2021

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      Author Tags

      1. Carbon-efficiency
      2. cloud computing
      3. edge
      4. virtualization

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      November 1 - 4, 2021
      WA, Seattle, USA

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      • (2024)Towards Carbon Footprint Management in Hybrid MulticloudACM SIGEnergy Energy Informatics Review10.1145/3698365.36983754:3(58-64)Online publication date: 1-Jul-2024
      • (2024)Carbon-Efficient Neural Architecture SearchACM SIGEnergy Energy Informatics Review10.1145/3698365.36983674:3(3-9)Online publication date: 1-Jul-2024
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      • (2024)On the Limitations of Carbon-Aware Temporal and Spatial Workload Shifting in the CloudProceedings of the Nineteenth European Conference on Computer Systems10.1145/3627703.3650079(924-941)Online publication date: 22-Apr-2024
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