Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/3472883.3487009acmconferencesArticle/Chapter ViewAbstractPublication PagesmodConference Proceedingsconference-collections
research-article

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.

Supplementary Material

MP4 File (Day2_7-2.mp4)
Presentation video

References

[1]
2018. OpenAI Blog, AI and Compute. https://openai.com/blog/ai-and-compute/.
[2]
2019. Reuters, Amazon Vows to be Carbon Neutral by 2040, buying 100,000 Electric Vans. https://www.reuters.com/article/us-amazon-environment/amazon-vows-to-be-carbon-neutral-by-2040-buying-100000-electric-vans-idUSKBN1W41ZV.
[3]
2020. Amazon EC2 Spot Instances. https://aws.amazon.com/ec2/spot/.
[4]
2020. Azure Spot Virtual Machines. https://azure.microsoft.com/en-us/pricing/spot/.
[5]
2020. Electricity Map. https://www.electricitymap.org/map.
[6]
2020. Google Preemptible Virtual Machines. https://cloud.google.com/preemptible-vms.
[7]
2021. Carbon free energy for Google Cloud regions. https://cloud.google.com/sustainability/region-carbon.
[8]
2021. Google Data Centers Efficiency. google.com/about/datacenters/efficiency/.
[9]
2021. Greenhouse Gas Protocol. https://ghgprotocol.org/.
[10]
Nicola Acutt. 2018. Radius: Stories at the Edge, Achieving Carbon Neutrality. https://www.vmware.com/radius/achieving-carbon-neutrality/.
[11]
A. Agarwal, J. Sun, S. Noghabi, S. Iyengar, A. Badam, R. Chandra, S. Seshan, and S. Kalyanaraman. 2021. Virtual Battery: Redesigning Cloud Computing for Renewable Energy. In HotNets.
[12]
B. Alcott. [n.d.]. Jevons' Paradox. Ecological Economics 54, 1 ([n.d.]), 9--21.
[13]
E. Bender, T. Gebru, A. McMillan-Major, and S. Shmitchell. 2021. On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?. In ACM FAccT.
[14]
Mark Bohr. 2007. A 30 Year Retrospective on Dennard's MOSFET Scaling Paper. IEEE Solid-State Circuits Society Newsletter 12, 1 (Winter 2007), 11--13.
[15]
Greg Bothun. 2020. Basics of Solar Energy. http://zebu.uoregon.edu/disted/ph162/l4.html.
[16]
Jeffrey S Chase, Darrell C Anderson, Prachi N Thakar, Amin M Vahdat, and Ronald P Doyle. 2001. Managing Energy and Server Resources in Hosting Centers. ACM SIGOPS Operating Systems Review 35, 5, 103--116.
[17]
A. Chien. 2021. Driving the Cloud to True Zero Carbon. CACM 64, 2 (February 2021).
[18]
Alyssa Daniels. 2020. Environmental Leader, Google Signs PPA for 140MW from Solar Farm in Texas. https://www.environmentalleader.com/2020/09/google-candela-texas-solar-ppa/.
[19]
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei. 2009. Imagenet: A large-scale hierarchical image database. In 2009 IEEE conference on computer vision and pattern recognition. Ieee, 248--255.
[20]
Dawson R. Engler, M. Frans Kaashoek, and James O'Toole. 1995. Exokernel: An Operating System Architecture for Application-Level Resource Management. In ACM Symposium on Operating System Principles (SOSP), Vol. 29. 251--266.
[21]
Darrell Etherington. 2020. TechCrunch, Google Claims Net Zero Carbon Footprint over its Entire Lifetime, Aims to only use Carbon-Free Energy by 2030. https://techcrunch.com/2020/09/14/google-claims-net-zero-carbon-footprint-over-its-entire-lifetime-aims-to-only-use-carbon-free-energy-by-2030/.
[22]
S. Evans. 2020. CarbonBrief, Solar is now 'cheapest electricity in history', confirms IEA. https://www.carbonbrief.org/solar-is-now-cheapest-electricity-in-history-confirms-iea.
[23]
Inigo Goiri, Ryan Beauchea, Kien Le, Thu D. Nguyen, Md. E. Haque, Jordi Guitart, Jordi Torres, and Ricardo Bianchini. 2011. GreenSlot: Scheduling Energy Consumption in Green Datacenters. In ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC). Seattle, Washington, 449--471.
[24]
Inigo Goiri, William Katsak, Kien Le, Thu D. Nguyen, and Ricardo Bianchini. 2013. Parasol and GreenSwitch: Managing Datacenters Powered by Renewable Energy. In ACM Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), Vol. 48. Houston, Texas, 51--64.
[25]
I. Goiri, T. Nguyen, and R. Bianchini. 2015. CoolAir: Temperature- and Variation-Aware Management for Free-Cooled Datacenters. In ASPLOS, Vol. 50. 253--265.
[26]
Synergy Research Group. 2020. Hyperscale Data Center Count Reaches 541 in Mid-2020; Another 176 in the Pipeline. Technical Report. Synergy Research Group, Reno, NV (United States). https://www.srgresearch.com/articles/hyperscale-data-center-count-reaches-541-mid-2020-another-176-pipeline
[27]
Benjamin Hindman, Andy Konwinski, Matei Zaharia, Ali Ghodsi, Anthony Joseph, Randy Katz, Scott Shenker, and Ion Stoica. 2011. Mesos: A Platform for Fine-grained Resource Sharing in the Data Center. In USENIX Symposium on Networked Systems Design and Implementation (NSDI). Boston, Massachusetts, 295--308.
[28]
Jeremy Hsu. 2019. How YouTube led to Google's cloud-gaming service: The tech that made YouTube work everywhere promises to do the same for games. IEEE Spectrum 56, 09 (2019), 9--10.
[29]
C. Imes, H. Zhang, K. Zhao, and H. Hoffman. 2019. CoPPer: Soft Real-Time Application Performance Using Hardware Power Capping. In International Conference on Autonomic Computing (ICAC). 31--41.
[30]
Rishikesh Jha, Stephen Lee, Srinivasan Iyengar, Mohammad H. Hajiesmaili, David Irwin, and Prashant Shenoy. 2020. Emission-aware Energy Storage Scheduling for a Greener Grid. In ACM International Conference on Future Energy Systems (e-Energy). 363--373.
[31]
Penny Jones. 2012. DataCenterDynamics, Apple Confirms Solar Farm at Maiden Data Center. https://www.datacenterdynamics.com/en/news/apple-conirms-solar-farm-at-maiden-data-center/.
[32]
J. Koomey. 2011. Growth in Data Center Electricity Use 2005 to 2010. https://www.koomey.com/research.html.
[33]
MLPerf. 2021. MLPerf™ v1.0 Inference Closed-Power ResNet-v1.5 server/offline (entries 1.0-{70,72,73,74}). https://mlcommons.org/en/inference-datacenter-10/
[34]
E. Niiler. 2020. Wired, Do Carbon Offsets Really Work? It Depends on the Details. https://www.wired.com/story/do-carbon-offsets-really-work-it-depends-on-the-details/.
[35]
Kevin O'Sullivan. 2020. The Irish Times, Facebook Commits to Net-Zero Carbon Emissions by 2030. https://www.irishtimes.com/news/environment/facebook-commits-to-net-zero-carbon-emissions-by-2030-1.4354701.
[36]
Darshan S. Palasamudram, Ramesh K. Sitaraman, Bhuvan Urgaonkar, and Rahul Urgaonkar. 2012. Using Batteries to Reduce Power Costs of Internet-Scale Distributed Networks. In ACM Symposium on Cloud Computing (SoCC). 1--14.
[37]
Srinivas Pandruvada. 2014. Running Average Power Limit. https://01.org/blogs/2014/running-average-power-limit-%E2%80%93-rapl.
[38]
S. Pelley, D. Meisner, P. Zandevakili, T. Wenisch, and J. Underwood. 2010. Power Routing: Dynamic Power Provisioning in the Data Center. In ASPLOS, Vol. 38. 231--242.
[39]
A. Qureshi, R. Weber, H. Balakrishnan, J. Guttag, and B. Maggs. 2009. Cutting the Electric Bill for Internet-Scale Systems. In SIGCOMM. 123--134.
[40]
A. Radovanovic. 2020. Google Blog, Our data centers now work harder when the sun shines and wind blows. https://blog.google/inside-google/infrastructure/data-centers-work-harder-sun-shines-wind-blows/.
[41]
Jerome H. Saltzer, David P. Reed, and David D. Clark. 1984. End-To-End Arguments in System Design. ACM Transactions on Computer Systems 2, 4 (November 1984), 277--288.
[42]
Prateek Sharma, Tian Guo, Xin He, David Irwin, and Prashant Shenoy. 2016. Flint: Batch-Interactive Data-Intensive Processing for Transient Servers. In ACM European Conference on Computer Systems (EuroSys). London, United Kingdom, 1--15.
[43]
Prateek Sharma, Stephen Lee, Tian Guo, David Irwin, and Prashant Shenoy. 2015. SpotCheck: Designing a Derivative Cloud on the Spot Market. In ACM European Conference on Computer Systems (EuroSys). Bordeaux, France, 1--15.
[44]
Arman Shehabi, Sarah Josephine Smith, Dale A. Sartor, Richard E. Brown, Magnus Herrlin, Jonathan G. Koomey, Eric R. Masanet, Nathanial Horner, Ines Lima Azevedo, and William Linter. 2016. United States Data Center Energy Usage Report. Technical Report LBNL-1005775. Lawrence Berkeley National Lab (LBL).
[45]
Kai Shen, Arrvindh Shriraman, Sandhya Dwarkadas, Xiao Zhang, and Zhuan Chen. 2013. Power Containers: An OS Facility for Fine-grained Power and Energy Management on Multicore Servers. In ACM Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS). 65--76.
[46]
Prashant Shenoy and Thomas Wenisch. 2015. NSF Workshop on Sustainable Data Centers. Technical Report. National Science Foundation.
[47]
Rahul Singh, David Irwin, Prashant Shenoy, and K.K. Ramakrishnan. 2013. Yank: Enabling Green Data Centers to Pull the Plug. In USENIX Symposium on Networked Systems Design and Implementation (NSDI). 143--156.
[48]
Brad Smith. 2020. Official Microsoft Blog, Microsoft will be Carbon Negative by 2030. https://blogs.microsoft.com/blog/2020/01/16/microsoft-will-be-carbon-negative-by-2030/.
[49]
S. Sorrell. 2009. Jevons' Paradox Revisited: The Evidence for Backfire from Improved Energy Efficiency. 37, 4 (2009), 1456--1469.
[50]
Rick Stevens, Valerie Taylor, Jeff Nichols, Arthur Barney Maccabe, Katherine Yelick, and David Brown. 2020. AI for Science. Technical Report. Argonne National Lab.(ANL), Argonne, IL (United States).
[51]
Emma Strubell, Ananya Ganesh, and Andrew McCallum. 2020. Energy and Policy Considerations for Modern Deep Learning Research. In AAAI Conference on Artificial Intelligence (AAAI). 13693--13696.
[52]
Supreeth Subramanya, Tian Guo, Prateek Sharma, David Irwin, and Prashant Shenoy. 2015. SpotOn: A Batch Computing Service for the Spot Market. In Proceedings of the Sixth ACM Symposium on Cloud Computing (SoCC). Kohala Coast, Hawai'i, 1--13.
[53]
J. Switzer, R. McGuinness, P. Pannuto, G. Porter, A. Schulman, and B. Raghavan. 2021. TerraWatt: Sustaining Sustainable Computing of Containers in Containers. Technical Report. arXiv:2102.06614 https://arxiv.org/abs/2102.06614
[54]
Domenico Talia. 2013. Clouds for scalable big data analytics. Computer 46, 5 (2013), 98--101.
[55]
Maud Texier. 2021. Google Cloud: A timely New Approach to Certifying Clean Energy. https://cloud.google.com/blog/topics/sustainability/t-eacs-offer-new-approach-to-certifying-clean-energy.
[56]
R. Urgaonkar, B. Urgaonkar, M. Neely, and A. Sivasubramaniam. 2011. Optimal Power Cost Management Using Stored Energy in Data Centers. In SIGMETRICS. 221--232.
[57]
M. Weiser, B. Welch, A. Demers, and S. Shenker. 1994. Scheduling for Reduced CPU Energy. In OSDI.
[58]
J. Wilkes. 2020. Google Cluster-Usage Traces v3. Technical Report. Google Inc. Posted at https://github.com/google/cluster-data/blob/master/ClusterData2019.md.
[59]
Ying Yan, Yanjie Gao, Yang Chen, Zhongxin Guo, Bole Chen, and Thomas Moscibroda. 2016. TR-Spark: Transient Computing for Big Data Analytics. In ACM Symposium on Cloud Computing (SoCC). Santa Clara, California, 484--496.
[60]
Youngseok Yang, Geon-Woo Kim, Won Wook Song, Yunseong Lee, Andrew Chung, Zhengping Qian, Brian Cho, and Byung-Gon Chun. 2017. Pado: A Data Processing Engine for Harnessing Transient Resources in Datacenters. In ACM European Conference on Computer Systems (EuroSys). Belgrade, Serbia, 575--588.
[61]
Matei Zaharia, Mosharaf Chowdhury, Tathagata Das, Ankur Dave, Justin Ma, Murphy McCauley, Michael Franklin, Scott Shenker, and Ion Stoica. 2012. Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing. In USENIX Symposium on Networked System Design and Implementation (NSDI). 15--28.

Cited By

View all
  • (2024)Shaping Sustainable Futures: Public Policies and Renewable Energy Insights Based on Global Bibliometric AnalysisSustainability10.3390/su1612495716:12(4957)Online publication date: 10-Jun-2024
  • (2024)Towards Application Centric Carbon Emission ManagementACM SIGEnergy Energy Informatics Review10.1145/3698365.36983784:3(80-86)Online publication date: 1-Jul-2024
  • (2024)Towards Carbon Footprint Management in Hybrid MulticloudACM SIGEnergy Energy Informatics Review10.1145/3698365.36983754:3(58-64)Online publication date: 1-Jul-2024
  • Show More Cited By

Index Terms

  1. Enabling Sustainable Clouds: The Case for Virtualizing the Energy System

      Recommendations

      Comments

      Please enable JavaScript to view thecomments powered by Disqus.

      Information & Contributors

      Information

      Published In

      cover image ACM Conferences
      SoCC '21: Proceedings of the ACM Symposium on Cloud Computing
      November 2021
      685 pages
      ISBN:9781450386388
      DOI:10.1145/3472883
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

      Sponsors

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 01 November 2021

      Permissions

      Request permissions for this article.

      Check for updates

      Author Tags

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

      Qualifiers

      • Research-article
      • Research
      • Refereed limited

      Conference

      SoCC '21
      Sponsor:
      SoCC '21: ACM Symposium on Cloud Computing
      November 1 - 4, 2021
      WA, Seattle, USA

      Acceptance Rates

      Overall Acceptance Rate 169 of 722 submissions, 23%

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • Downloads (Last 12 months)185
      • Downloads (Last 6 weeks)32
      Reflects downloads up to 21 Nov 2024

      Other Metrics

      Citations

      Cited By

      View all
      • (2024)Shaping Sustainable Futures: Public Policies and Renewable Energy Insights Based on Global Bibliometric AnalysisSustainability10.3390/su1612495716:12(4957)Online publication date: 10-Jun-2024
      • (2024)Towards Application Centric Carbon Emission ManagementACM SIGEnergy Energy Informatics Review10.1145/3698365.36983784:3(80-86)Online publication date: 1-Jul-2024
      • (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
      • (2024)Exploring the Efficiency of Renewable Energy-based Modular Data Centers at ScaleProceedings of the 2024 ACM Symposium on Cloud Computing10.1145/3698038.3698544(552-569)Online publication date: 20-Nov-2024
      • (2024)The Sunk Carbon Fallacy: Rethinking Carbon Footprint Metrics for Effective Carbon-Aware SchedulingProceedings of the 2024 ACM Symposium on Cloud Computing10.1145/3698038.3698542(542-551)Online publication date: 20-Nov-2024
      • (2024)Caribou: Fine-Grained Geospatial Shifting of Serverless Applications for SustainabilityProceedings of the ACM SIGOPS 30th Symposium on Operating Systems Principles10.1145/3694715.3695954(403-420)Online publication date: 4-Nov-2024
      • (2024)CAFE: Carbon-Aware Federated Learning in Geographically Distributed Data Centers✱Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems10.1145/3632775.3661970(347-360)Online publication date: 4-Jun-2024
      • (2024)On the Implications of Choosing Average versus Marginal Carbon Intensity Signals on Carbon-aware OptimizationsProceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems10.1145/3632775.3661953(422-427)Online publication date: 4-Jun-2024
      • (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
      • Show More Cited By

      View Options

      Login options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      Media

      Figures

      Other

      Tables

      Share

      Share

      Share this Publication link

      Share on social media