2024.11.05

[seanmcilroy29]

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2024.11.05 Agenda/Minutes

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Time 0800 (PT) / 1600 (BST) - See the time in your timezone

• Chair – Adrian Cockcroft
• Chair - Pindy Bhullar (UBS)
• Convener – Sean Mcilroy (Linux Foundation)

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Recordings

WG agreed to record all Meetings. This meeting recording will be available until the next scheduled meeting.

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Roll Call

Please add 'Attended' to this issue during the meeting to denote attendance.

Any untracked attendees will be added by the GSF team below:

• Full Name, Affiliation, (optional) GitHub username

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Agenda

• Approve agenda
• Approve

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Discussion

• creating a 2024 estimates region metadata set so that we have “real-time” best guesses for use by Impact Framework

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Issues

• ASSESSMENT OF THE USE OF SPEC SERT SUITE MEASURED DATA TO CREATE A DATA CENTER WORK PER ENERGY METRIC #69
• TGG POSITION ON THE METRIC TO CALCULATE ICT SERVER CAPACITY #68

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Specification & Dataset updates?

• Specification
• Dataset

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Next Steps

• Key areas for the project to focus on.

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Ref Material

• GSF Real-Time Cloud Renewable Energy Percentage spreadsheet
• RTC Cloud Region Impact Framework Documentation
• miro dataflow in detail
  • Continue to review and approve the proposed Scope.

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AOB

• Topics added during the meeting

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Next Meeting

• 19 Nov

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[kapokasa]

attended

[mrchrisadams]

Attended

[seanmcilroy29]

Attended

[seanmcilroy29]

MoM

General Notes

The team discussed developing and implementing a Python script to forecast carbon intensity data for 2024 using linear interpolation. They emphasized the need for improved data disclosure from providers like Amazon and Google. The conversation also touched on the potential use of the SPEC certification suite measure data to create a metric for data centre work energy, although its relevance was questioned. The team agreed to update the baseline data and ensure consistency in their methodologies. They plan to involve members from Google and Microsoft to finalize the approach and provide an accurate representation of data, particularly regarding renewable energy procurement and on-site generation.

Minutes

Discussion on Data Center Metrics and Python File
Adrian explains the process of creating an essay with textual data copied forward and numeric data trended, using an old CSV. Chris Adams mentions the potential changes in the situation in Germany and the anticipation of announcements at the upcoming Reinvent event. Sean Mcilroy inquires about the Python file discussed by Adrian and its relevance to the real-time cloud project. Chris Adams and Sean Mcilroy discuss the relevance of the SPEC cert suite measure data for creating a data centre work energy metric.

Challenges with Data Center Metrics
Chris Adams expresses concerns about the relevance and feasibility of using total compute capacity metrics in the current context. Sean Mcilroy mentions a follow-up on the TGG position on the metric to calculate ICT server capacity.
Adrian shares issues with the hospital's Wi-Fi, which affects call duration and quality. Adrian and Chris Adams discuss the potential usefulness and challenges of using data centre figures of merit metrics.

Feedback on Python File and Data Set
Sean Mcilroy asks for feedback on the Python file and its relevance to the real-time cloud project. Adrian mentions the need to fill in numbers in a Google Doc and create an issue for the Python file. Chris Adams and Adrian discuss the process of working in the dev branch and the readme for the Python file. Sean Mcilroy and Adrian also discuss sorting and reviewing data in the Google Doc.

Discussion on Baseline Updates and Data Collection
Sean Mcilroy inquires about updating the baseline and data set for the next meeting. Chris Adams and Adrian discuss the need for new data and the potential for updates based on new country coverage. Henry expresses confusion about the Python script and its intent, leading to a discussion on linear interpolation. Chris Adams suggests opening an issue to get visibility on the Python script and its methodology.

Next Steps and Action Items
Sean Mcilroy outlines the next steps for updating the data set and creating a consistent methodology for calculating figures.
Chris Adams emphasizes the need for a consistent way to measure and compare data centre metrics. Sean Mcilroy plans to invite representatives from Google and Microsoft to the next meeting for further discussion. The team agrees on the importance of having accurate data and the potential need for additional columns in the data set.

Final Remarks and Meeting Conclusion
Sean Mcilroy summarizes the action items and plans for the next meeting. The team agrees on the direction for updating the data set and creating a defensible methodology. Chris Adams and Sean Mcilroy discuss the importance of transparency and provider collaboration. The meeting concludes with a plan to follow up on the discussed action items and prepare for the next meeting.

Action Items

• @sean Mcilroy - Organize a discussion with representatives from Google and Microsoft to help define a standardized approach for representing the data.
• Review the Python script and provide feedback in the dev branch.
• Investigate updating the 2023 data in the baseline using the new WattTime data.