Assessing the suitability of the Greenhouse Gas Protocol for calculation of emissions from public cloud computing workloads release_gnroufk6srdy7l3af7iw4pr6r4

by David Mytton

References

This release citing other releases
  1. Cloud Computing and Sustainability: The Environmental Benefits of Moving to the Cloud.2010.Accenture (2010) Cloud Computing and Sustainability: The Environmental Benefits of Moving to the Cloud. Available from: https://download.microsoft.com/download/A/F/F/AFFEB671-FA27-45CF-9373-0655247751CF/Cloud%20Computing%20and%20Sustainability%20-%20Whitepaper%20-%20Nov%202010.pdf [Accessed 21 Mar 2020]
  2. Amazon Web Services Launches.2006.Amazon. (2006) Amazon Web Services Launches. Available from: https://press.aboutamazon.com/news-releases/news-release-details/amazon-web-services-launches-amazon-s3-simple-storage-service [Accessed 21 Mar 2020]
  3. Amazon EC2 Dedicated Hosts.2020.Amazon. (2020c) Amazon EC2 Dedicated Hosts. Available from: https://aws.amazon.com/ec2/dedicated-hosts/ [Accessed 21 Mar 2020]
  4. Amazon EC2 Instance Pricing.2020.Amazon. (2020d) Amazon EC2 Instance Pricing. Available from: https://aws.amazon.com/ec2/pricing/on-demand/ [Accessed 21 Mar 2020]
  5. AWS & Sustainability.2020.Amazon. (2020e) AWS & Sustainability. Available from: https://aws.amazon.com/about-aws/sustainability/ [Accessed 21 Mar 2020]
  6. Regions, Availability Zones, and Local Zones.2020.Amazon. (2020f) Regions, Availability Zones, and Local Zones. Available from https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/using-regions-availability-zones.html [Accessed 21 Mar 2020]
  7. Challenges.2015.Andrae AS, Edler T (2015) On global electricity usage of communication technology: trends to 2030. Challenges 6(1):117–157. https://doi.org/10.3390/challe6010117 (DOI: 10.3390/challe6010117)
  8. J Industrial Ecol.2018.Aslan J, Mayers K, Koomey JG, France C (2018) Electricity intensity of internet data transmission: untangling the estimates. J Industrial Ecol 22(4):785–798. https://doi.org/10.1111/jiec.12630 (DOI: 10.1111/jiec.12630)
  9. Energies.2017.Avgerinou M, Bertoldi P, Castellazzi L (2017) Trends in data Centre energy consumption under the European code of conduct for data Centre energy efficiency. Energies 10(10):1470. https://doi.org/10.3390/en10101470 (DOI: 10.3390/en10101470)
  10. IEEE Transact Sustain Comput.2018.Bashroush R (2018) A comprehensive reasoning framework for hardware refresh in data centers. IEEE Transact Sustain Comput 3(4):209–220. https://doi.org/10.1109/TSUSC.2018.2795465 (DOI: 10.1109/tsusc.2018.2795465)
  11. Bashroush R, Lawrence A (2020) Beyond PUE: tackling IT's wasted terawatts. Uptime Institute Available from: https://uptimeinstitute.com/beyond-pue-tackling-it's-wasted-terawatts [Accessed 11 June 2020]
  12. Barr J (2015) Cloud computing, server utilization, & the environment. AWS News Blog Available from: https://aws.amazon.com/blogs/aws/cloud-computing-server-utilization-the-environment/ [Accessed 21 Mar 2020]
  13. Energies.2019.Basmadjian R (2019) Flexibility-based energy and demand Management in Data Centers: A case study for cloud computing. Energies 12(17):3301. https://doi.org/10.3390/en12173301 (DOI: 10.3390/en12173301)
  14. Comput J.2010.Berl A, Gelenbe E, Di Girolamo M, Giuliani G, De Meer H, Dang M, Pentikousis K (2010) Energy-efficient cloud computing. Comput J 53(7):1045–1051. https://doi.org/10.1093/comjnl/bxp080 (DOI: 10.1093/comjnl/bxp080)
  15. Berral JL, Goiri Í, Nguyen TD, Gavalda R, Torres J, Bianchini R (2014) Building green cloud services at low cost. In: 2014 IEEE 34th International Conference on Distributed Computing Systems, 30 June-3 July 2014. Madrid, Spain. IEEE:449–460. https://doi.org/10.1109/ICDCS.2014.53 (DOI: 10.1109/icdcs.2014.53)
  16. Energ Conversion Manag.2013.Brady GA, Kapur N, Summers JL, Thompson HM (2013) A case study and critical assessment in calculating power usage effectiveness for a data Centre. Energ Conversion Manag 76:155–161. https://doi.org/10.1016/j.enconman.2013.07.035 (DOI: 10.1016/j.enconman.2013.07.035)
  17. arXiv.2010.Buyya R, Beloglazov A, Abawajy J (2010) Energy-efficient management of data center resources for cloud computing: a vision, architectural elements, and open challenges. arXiv 1006:0308 Available from: https://arxiv.org/abs/1006.0308 [Accessed 21 Mar 2020]
  18. Cisco (2020) Cisco Annual Internet Report (2018–2023) White Paper. Cisco Available from: https://www.cisco.com/c/en/us/solutions/collateral/executive-perspectives/annual-internet-report/white-paper-c11-741490.html [Accessed 21 Mar 2020]
  19. Cook G, Jardim E, Craighill C (eds) (2019) Clicking Clean Virginia The Dirty Energy Powering Data Center Alley. Greenpeace Available from: https://www.greenpeace.org/usa/reports/click-clean-virginia/ [Accessed 21 Mar 2020]
  20. Consultation outcome: Streamlined energy and carbon reporting.2018.Department for Business, Energy & Industrial Strategy (2018) Consultation outcome: Streamlined energy and carbon reporting. Available from: https://www.gov.uk/government/consultations/streamlined-energy-and-carbon-reporting [Accessed 21 Mar 2020]
  21. Sustainability in numbers. Facebook.2020.Facebook (2020). Sustainability in numbers. Facebook. Available from: https://sustainability.fb.com/sustainability-in-numbers/ [Accessed 11 Jun 2020]
  22. Flexera (2019) RightScale 2019 state of the cloud report from Flexera identifies cloud adoption trends. Flexera, Inc Available from: https://www.flexera.com/about-us/press-center/rightscale-2019-state-of-the-cloud-report-from-flexera-identifies-cloud-adoption-trends.html [Accessed 21 Mar 2020]
  23. Forrester (2019) Forrester data: cloud security solutions forecast, 2016 to 2021 (global). Forrester Research, Inc. Available from: https://www.tatacommunications.com/wp-content/uploads/2019/02/Forrester-Report.pdf [Accessed 21 Mar 2020]
  24. 2013 Proceedings IEEE INFOCOM.2013.Gao Y, Zeng Z, Liu X, Kumar PR (2013) The answer is blowing in the wind: analysis of powering internet data centers with wind energy. In: 2013 Proceedings IEEE INFOCOM. IEEE, Turin, pp 520–524. https://doi.org/10.1109/INFCOM.2013.6566827 (DOI: 10.1109/infcom.2013.6566827)
  25. Proceedings of the 2nd International Workshop on Cloud Computing Platforms (CloudCP '12).2012.Gelenbe E (2012) Energy packet networks: adaptive energy management for the cloud. In: Proceedings of the 2nd International Workshop on Cloud Computing Platforms (CloudCP '12). Association for Computing Machinery, New York, pp 1–5. https://doi.org/10.1145/2168697.2168698 (DOI: 10.1145/2168697.2168698)
  26. GHG Protocol Scope 2 Guidance.2015.GHG Protocol. (2015) GHG Protocol Scope 2 Guidance. Available from: https://ghgprotocol.org/scope_2_guidance [Accessed 21 Mar 2020]
  27. ICT Sector Guidance built on the GHG Protocol Product Life Cycle Accounting and Reporting Standard.2017.GHG Protocol. (2017) ICT Sector Guidance built on the GHG Protocol Product Life Cycle Accounting and Reporting Standard. Available from: https://ghgprotocol.org/sites/default/files/GHGP-ICTSG%20-%20ALL%20Chapters.pdf [Accessed 21 Mar 2020]
  28. Google (2019) Environmental report 2019. Google Available from: https://services.google.com/fh/files/misc/google_2019-environmental-report.pdf [Accessed 21 Mar 2020]
  29. Data Centers: Efficiency.2020.Google. (2020). Data Centers: Efficiency. Available from: https://www.google.com/about/datacenters/efficiency/ [Accessed 11 Jun 2020]
  30. Google Infrastructure Security Design Overview: Hardware Design and Provenance.2017.Google Cloud Platform (GCP). (2017) Google Infrastructure Security Design Overview: Hardware Design and Provenance. Available from: https://cloud.google.com/security/infrastructure/design/#hardware_design_and_provenance [Accessed 21 Mar 2020]
  31. Google Cloud Networking Incident #19009.2019.Google Cloud Platform (GCP). (2019) Google Cloud Networking Incident #19009. Available from: https://status.cloud.google.com/incident/cloud-networking/19009 [Accessed 21 Mar 2020]
  32. Google Cloud Functions Pricing.2020.Google Cloud Platform (GCP). (2020a) Google Cloud Functions Pricing. Available from: https://cloud.google.com/functions/pricing [Accessed 21 Mar 2020]
  33. Block Storage Performance.2020.Google Cloud Platform (GCP). (2020b) Block Storage Performance. Available from: https://cloud.google.com/compute/docs/disks/performance [Accessed 21 Mar 2020]
  34. Regions and Zones.2020.Google Cloud Platform (GCP). (2020c) Regions and Zones. Available from: https://cloud.google.com/compute/docs/regions-zones/ [Accessed 21 Mar 2020]
  35. Live Migration.2020.Google Cloud Platform (GCP). (2020d) Live Migration. Available from: https://cloud.google.com/compute/docs/instances/live-migration [Accessed 21 Mar 2020]
  36. Heslin K (2016) Ignore data center Water consumption at your own peril. Uptime Institute; Weblog Available from: https://journal.uptimeinstitute.com/dont-ignore-water-consumption/ [Accessed 11 Jun 2020]
  37. Hölzle U (2018) Meeting our match: buying 100 percent renewable energy. The Keyword; Weblog Available from: https://www.blog.google/outreach-initiatives/environment/meeting-our-match-buying-100-percent-renewable-energy/ [Accessed 21 Mar 2020]
  38. Energy efficient data centers.2012.Huusko J, de Meer H, Klingert S, Somov A (2012) Energy efficient data centers. Springer, Madrid. https://doi.org/10.1007/978-3-642-33645-4 (DOI: 10.1007/978-3-642-33645-4)
  39. ISO/IEC DIS 30134–6 Information technology — Data centres — Key performance indicators — Part 6: Energy Reuse Factor (ERF).2012.International Standards Organisation (ISO). (2012) ISO/IEC DIS 30134–6 Information technology — Data centres — Key performance indicators — Part 6: Energy Reuse Factor (ERF). Available from: https://www.iso.org/standard/71717.html [Accessed 11 Jun 2020]
  40. ISO/IEC 30134–2:2016 Information technology — Data centres — Key performance indicators — Part 2: Power usage effectiveness (PUE).2016.International Standards Organisation (ISO). (2016) ISO/IEC 30134–2:2016 Information technology — Data centres — Key performance indicators — Part 2: Power usage effectiveness (PUE). Available from: https://www.iso.org/standard/63451.html [Accessed 11 Jun 2020]
  41. ISO/IEC 30134–3:2016/AMD 1:2018 Information technology — Data centres — Key performance indicators — Part 3: Renewable energy factor (REF) — Amendment 1.2018.International Standards Organisation (ISO). (2018) ISO/IEC 30134–3:2016/AMD 1:2018 Information technology — Data centres — Key performance indicators — Part 3: Renewable energy factor (REF) — Amendment 1. Available from: https://www.iso.org/standard/72703.html [Accessed 11 Jun 2020]
  42. Jimenez M, Kwok H (2017) Building express backbone: Facebook's new long-haul network. In: Facebook Engineering. Weblog Available from: https://engineering.fb.com/data-center-engineering/building-express-backbone-facebook-s-new-long-haul-network/ [Accessed 21 Mar 2020]
  43. Nature.2018.Jones N (2018) How to stop data centres from gobbling up the world's electricity. Nature 561(7722):163–167. https://doi.org/10.1038/d41586-018-06610-y (DOI: 10.1038/d41586-018-06610-y)
  44. Data centres and energy – from global headlines to local headaches?.2019.Kamiya, G., and Kvarnström, O. (2019) Data centres and energy – from global headlines to local headaches? Available from: https://www.iea.org/commentaries/data-centres-and-energy-from-global-headlines-to-local-headaches [Accessed 21 Mar 2020]
  45. Lawrence A (2019) Is PUE actually going UP? Uptime Institute. Weblog Available from: https://journal.uptimeinstitute.com/is-pue-actually-going-up/ [Accessed 11 Jun 2020]
  46. Lei N, Masanet E (2020) Statistical analysis for predicting location-specific data center PUE and its improvement potential. Energy 201. https://doi.org/10.1016/j.energy.2020.117556 (DOI: 10.1016/j.energy.2020.117556)
  47. Nat Climate Change.2013.Masanet E, Shehabi A, Koomey J (2013a) Characteristics of low-carbon data centres. Nat Climate Change 3(7):627–630. https://doi.org/10.1038/nclimate1786 (DOI: 10.1038/nclimate1786)
  48. The energy efficiency potential of cloud-based software: A U.S. Case study.2013.Masanet E, Shehabi A, Ramakrishnan L, Liang J, Ma X, Walker B, Hendrix V, Mantha P (2013b) The energy efficiency potential of cloud-based software: A U.S. Case study. Lawrence Berkeley National Laboratory, Berkeley Available from: https://eta.lbl.gov/publications/energy-efficiency-potential-cloud [Accessed 21 Mar 2020] (DOI: 10.2172/1171159)
  49. Science.2020.Masanet E, Shehabi A, Lei N, Smith S, Koomey J (2020) Recalibrating global data center energy-use estimates. Science 367(6481):984–986. https://doi.org/10.1126/science.aba3758 (DOI: 10.1126/science.aba3758)
  50. Metz C (2016) Google's making its own chips now. In: Time for Intel to freak out. Wired Available from: https://www.wired.com/2016/05/googles-making-chips-now-time-intel-freak/ [Accessed 21 Mar 2020]
  51. The carbon benefits of cloud computing: A study on the Microsoft Cloud.2018.Microsoft. (2018a) The carbon benefits of cloud computing: A study on the Microsoft Cloud. Available from: https://www.microsoft.com/en-gb/download/details.aspx?id=56950 [Accessed 21 Mar 2020]
  52. 2018 Data Factsheet: Environmental Indicators.2018.Microsoft. (2018b) 2018 Data Factsheet: Environmental Indicators. Available from: http://query.prod.cms.rt.microsoft.com/cms/api/am/binary/RE3455q [Accessed 21 Mar 2020]
  53. What are Availability Zones in Azure?.2019.Microsoft. (2019) What are Availability Zones in Azure? Available from: https://docs.microsoft.com/en-gb/azure/availability-zones/az-overview [Accessed 21 Mar 2020]
  54. Microsoft Sustainability Calculator.2020.Microsoft. (2020a) Microsoft Sustainability Calculator. Available from: https://appsource.microsoft.com/en-us/product/power-bi/coi-sustainability.sustainability_dashboard [Accessed 21 Mar 2020]
  55. Connect the Microsoft Sustainability Calculator.2020.Microsoft. (2020b) Connect the Microsoft Sustainability Calculator. Available from: https://docs.microsoft.com/en-gb/power-bi/service-connect-to-microsoft-sustainability-calculator [Accessed 21 Mar 2020]
  56. Azure global infrastructure.2020.Microsoft. (2020c) Azure global infrastructure. Available from: https://azure.microsoft.com/en-us/global-infrastructure/ [Accessed 21 Mar 2019]
  57. The Green Grid. White Paper number: 35.2011.Patterson M, Azevedo D, Belady C, Pouchet J (2011) Water Usage Effectiveness (WUE): A Green Grid Data Center Sustainability Metric. In: The Green Grid. White Paper number: 35 Available from: https://www.thegreengrid.org/en/resources/library-and-tools/238-Water-Usage-Effectiveness-%28WUE%29%3A-A-Green-Grid-Data-Center-Sustainability-Metric . [Accessed 11 Jun 2020]
  58. Rao N (2016) Bandwidth costs around the World. In: The Cloudflare Blog. Weblog Available from: https://blog.cloudflare.com/bandwidth-costs-around-the-world/ [Accessed 21 Mar 2020]
  59. Sattiraju N (2020) Google data centers' secret cost: billions of gallons of Water. Bloomberg Green Available from: https://www.bloomberg.com/news/features/2020-04-01/how-much-water-do-google-data-centers-use-billions-of-gallons [Accessed 11 Jun 2020]
  60. United states data center energy usage report.2016.Shehabi A, Smith S, Sartor D, Brown R, Herrlin M, Koomey J, Masanet E, Horner N, Azevedo I, Lintner W (2016) United states data center energy usage report. Lawrence Berkeley National Laboratory, Berkeley Report number: LBNL-1005775. Available from: https://eta.lbl.gov/publications/united-states-data-center-energy [Accessed 21 Mar 2020] (DOI: 10.2172/1372902)
  61. Environ Res Lett.2018.Shehabi A, Smith SJ, Masanet E, Koomey J (2018) Data center growth in the United States: decoupling the demand for services from electricity use. Environ Res Lett 13:124030. https://doi.org/10.1088/1748-9326/aaec9c (DOI: 10.1088/1748-9326/aaec9c)
  62. ACM SIGCOMM Comp Commun Rev.2015.Singh A, Ong J, Agarwal A, Anderson G, Armistead A, Bannon R, Boving S, Desai G, Felderman B, Germano P, Kanagala A (2015) Jupiter rising: A decade of clos topologies and centralized control in google's datacenter network. ACM SIGCOMM Comp Commun Rev 45(4):183–197. https://doi.org/10.1145/2785956.2787508 (DOI: 10.1145/2785956.2787508)
  63. Spiceworks (2019) 2019 State of IT. Spiceworks Available from: https://www.spiceworks.com/marketing/state-of-it-2019/future-tech/ [Accessed 21 Mar 2020]
  64. UNESCO World Water Assessment Programme (2020) The United Nations world water development report 2020: water and climate change. UNESCO, Paris Available from: https://unesdoc.unesco.org/ark:/48223/pf0000372985.locale=en [Accessed 11 Jun 2020]
  65. Uptime Institute (2019) Annual Data Center Survey Results. Uptime Institute Available from: https://uptimeinstitute.com/resources/asset/2019-data-center-industry-survey [Accessed 21 Mar 2020]
  66. Comp Commun.2014.Van Heddeghem W, Lambert S, Lannoo B, Colle D, Pickavet M, Demeester P (2014) Trends in worldwide ICT electricity consumption from 2007 to 2012. Comp Commun 50:64–76. https://doi.org/10.1016/j.comcom.2014.02.008 (DOI: 10.1016/j.comcom.2014.02.008)
  67. Vaid K (2016) Microsoft reimagines open source cloud hardware. Microsoft Azure Blog: Weblog Available from: https://azure.microsoft.com/en-gb/blog/microsoft-reimagines-open-source-cloud-hardware/ [Accessed 21 Mar 2020]
  68. Walshe N (2020) Microsoft sustainability calculator helps enterprises analyze the carbon emissions of their IT infrastructure. Microsoft Azure Blog; Weblog Available from: https://azure.microsoft.com/en-gb/blog/microsoft-sustainability-calculator-helps-enterprises-analyze-the-carbon-emissions-of-their-it-infrastructure/ [Accessed 21 Mar 2020]
  69. Behind the manifestos: How green is my party? The Times.2019.Webster, B. (2019) Behind the manifestos: How green is my party? The Times. Available from: https://www.thetimes.co.uk/article/behind-the-manifestos-how-green-is-my-party-t26lzjgzn [Accessed 21 Mar 2020]
  70. Build Environ.2014.Whitehead B, Andrews D, Shah A, Maidment G (2014) Assessing the environmental impact of data centres part 1: background, energy use and metrics. Build Environ 82:151–159. https://doi.org/10.1016/j.buildenv.2014.08.021 (DOI: 10.1016/j.buildenv.2014.08.021)