Page History

Theme:

What problem are we trying to solve?

What are we producing in what time frame?

Data Centric Architecture Overview and Group Alignment

• Motivations/goals
• Key questions to be answered
• Data domains
• Data characterization

Erik Jaegervall, Adnan Bekan, Stephen Lawrence

Compare interface types

• type of data
• levels
• pros/cons
• environmental constraints (e.g. compute power) 
• Consider existing/previous work
  • Existing protocols exposing VSS?
  • Vehicle Information Service Specification

Presentation Material:

• Data Centric Architectures (Deck)
• Perspectives Data Centric Architectures(Miro)

Choose Specific Touch Points/ Scenarios to Drill Into

 For example:

• Head Unit to Android in-vehicle hosted OS 
• Zone ECU to Head Unit
• ECU to Edge compute device in vehicle
• Zone ECU to TCU

Collaboration Session (Miro Board) 

Common ways of describing and exposing/exchanging data

Agree on specific examples to drill into

Drill Into Specific Context/Interface/Arch

Collaboration Session (Miro Board) -