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Historical note: the minutes for the previous project, the CVII Tech Stack, can be found here: CVII Technology Stack meeting notes

22nd February 2023

Agenda:

• Workshop debrief
  • Do we have agreement on some high level points?
    • Acceptance of the zone arch diagram from Miro
    • Creation of Data Arch / Pattern
      • Outline:

        • Document Goals, Motivations, Questions - Stephen, Andre, Christian, Adnan

        • Illustrate Design Patterns - Stephen, Andre, Christian, Adnan

        • POC Definition [ongoing] - Stephen, Andre, Christian, Adnan

• Arch / Pattern outline Qs
  • General approach / form

Minutes:

• Debrief
  • General agreement around the high level arch diagram and results from the workshop.
  • Ulf: Detail - Revisit arched line from computing to HU in top level diagram
  • Ulf: More than one arch may be possible, e.g. data centric, interface centric (e.g. CCS centricity around VISS)
• Roadmap
  • Steve outlined some possible approaches to describing a data architecture and associated patterns electronically.
    • As discussed in the workshop moving from the general (Goals, Motivations, Questions) to specifics such as Design Patterns and Touchpoint illustrations.
  • Andre will have internal discussion about this
  • Goal remains to build out a work plan

15th February 2023

• Normal hourly meeting cancelled in favor of two afternoons (Weds, Thurs) of workshops to advance the general data architecture discussion.
• See Miro https://miro.com/app/board/uXjVPoh2zow=/

8th February 2023

• Two themes:

  • The general data centric data architecture pattern
    • Motivations/goals
    • Key questions to be answered
    • Data domains:
      • Autosar, Telematic, IVI, etc
    • Data characterisation:
  • More descriptive/prescriptive orientations of the pattern for specific use cases or touchpoints
    • e.g. Android touch-point:
      • Methods of signal abstraction via VHAL or VSS Data Server
      • App connection via cloud and in-vehicle
• Workshop
  • Agreement building
    • Opening
      • Motivations/goals
      • Key questions to be answered
    • Data domains:
  • Roadmap

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