20200514-Virtual-Technical-Summit-CCS-Workshop-Minutes

Philippe Robin welcomes everyone and hands over the mic to Kevin Valdek

50 attendees

slide deck for this workshop is here

## Project overview

Kevin: this is the presentation Gunnar and I delivered in the Automotive World webinar last week, recording is available

•  Introduction
  • slide #4: Project charter
    • Even though cars are connected, they are limited to specific OEM/brands
    • A lot of ideas and start ups introducing new services…
    • We want to harmonize these activities… Define building blocks with flexibility for common solutions… Define data exchange and access
  • slide #5: Vehicle data
    • not limited to specific types but clustered by anonymity (personalised, pseudonymized, anonymized)
  • slide #6: Services / Needs
    
    • up-to-date data, typically telematic through a cloud server, but also bulk on big data
• Data Model
  • slide #9: Common data model
    • the industry needs this (different implemenations for each OEM… This is to avoid this situation)
    • Gap analysis in the CCS project (CVIM, SensorIS, ISO20078, Android Automotive, VSS) in 2019
  • slide #10: Vehicle Signal Specification (VSS)
    
    • VSS is at the core of the CCS project
  • slide #16: Value exchange formats
    • proposed protocol to group and exchange VSS data
• Framework:
  • slide #18: capture data in vehicles
    • ECUs speaking VSS2 (SOME/IP, DDS, HTTP/REST) or current bus translation
  • slide #19: cloud transfer & storage
    • Transfer/Storage with the W3C defined protocol Gen2,  "Gen2" is a vehicle API over HTTPS and WebSockets + data lake based possibly on object storage in a later stage
    • Buffering (high frequency, poor connectivity…) to take into account
  • slide #22: Neutral servers and data marketplaces opportunity included (in accordance to ISO20078) or simple 3rd party access

discussion on framework architecture

• Iyyaz Baber: What about a noSQL DB in the cloud?
• Kevin: We could. In the end, the proof-of-concept came from our experience with relational DB, there is no restriction
• Ulf: the server exposes an API. As long as it follows the API, the DB could be of different types.
• Gunnar: this would depend on the data (time series fitting into a relational DB ?).
• Teddy Zhai: When you say: “Cloud is Client, and in-vehicle is Data Server”, do you mean in a logical view or technological view? It means, for example, Data Server needs to open ports and listen on them.
• Ulf: it's both, the data servers needs to open ports and listen, and response to requests (standard client-server model)
• Gunnar: it can vary from this current proof-of-concept architecture to a production-ready solution. Typically there could be an SSL tunnel set up by OEMs
• Teddy: This is a major architecture decision in our view. It would be great if GENIVI can provide a threat model for it.
• Gunnar: I think in the later stages of proof-of-concept development, it is worthwhile to address these questions about how to set up private networks between some parts (e.g. OEM to car). If we end up using SSL/TLS then the GENIVI Security team has previously published a best practice document for SSL/TLS which avoids a lot of security pitfalls.
• François Fischer: data model - you can add SAREF/Autopilot
• Philippe: we had a look at SAREF proposal in September 2019 (SAREF Automotive - https://www.w3.org/2019/09/trans-data-ws/SAREF.pdf) and estimated that it was more on the long term (5+ years) goals, it might be worth rechecking the status of SAREF work

• Francois: I coordinated a project about IoT and automated driving, i.e. AUTOPILOT and we pushed data models to SENSORIS and SAREF, see https://autopilot-project.eu/

• Gunnar: there are datasets included in the current VSS work, we expec to use an Electric Vehicle (EV) use case and data set for the proof-of-concept demo implementation
• Gunnar:  our objectives are to get fast results, identify technologies and components that need to be standardized

Demo #1 - OEM cloud

• Ulf: shows a Cloud and Connected services demo involving 3 components:
  • data server (W3C Gen2),
  • data base (Open Vehicle Dataset Server a.k.a. OVDS)
  • CCS vehicle client
• Data server can be accessed through multiple protocols (HTTP, WebSockets) with VSS(2) data (but open to use other compatible domains - with a service manager)
• Data base is a SQL database with a VSS-to-DB adapter
• CCS client sits in between and creates a list of all VSS leaf nodes and issues read/write requests to the Gen2/OVDS servers

Demo #2 - Vehicle data generation

• slide deck is here
• Stefan Vysocki (from the GENIVI AASIG Vehicle Data / VHAL project) shows a demo of a vehicle data feeder using a vehicle simulator and a GraphQL server
  
  • simulator used in the demo is OpenDs, a frame example is given (could be VSS too)
  • the demonstration iincludes the simulator interface and a GraphQL server to retrieve values from the simulator
• Kevin Valdek: Could we use a fleet instead  ?
• Stefan: Yes, by configuring multiple ports
• Stephen Lawrence: Could you containerize the simulator and automate tests ?
• Stefan: It is partially containerized, no issues.

Demo #3 - GraphQL client on top of a VSS schema

slide deck is here, Kevin shows a demo

Discussion

• How to have data anonymization ?
• there is consent here
• What about the identification?
• Here we could have many types of identifiers, such as what a brand allows you to access (a certain fleet for instance)
• What happens when the user removes consent (need to do something on the 3rd party side) ?
• These are great use cases, we should look into them.
• How do we categorize what is to be anonymized and what is not ?
• Since privacy is partially region-based, it might be better to have configuration outside of the VSS

Discussion on technology options

• Gunnar introduces the topic with this slide deck
• How to generate data
  • Usefulness of an easy to run driving simulator
    • it would be nice to use the simulator as a driving game and generate data
    • Iyyaz: I go for it !
    • Gunnar: which operating system would you use ?
    • Iyyaz: ubuntu, linux or windows 10
    • Christian: having vehicle data would be useful to test our APIs !
    • Stephen Lawrence points out that CAN can-utils has the basic cansend to send can msgs, look at https://github.com/linux-can/can-utils, and https://manpages.debian.org/stretch-backports/can-utils/cansend.1.en.html
    • How important is the sanity of the data ? Could we do statistical analysis on random data? What about randomly generating data ?
    • Gunnar: Is that sending a random generated data you mean?
    • Stephen: can-utils also has cangen for random data
    • Stephen: it seems also that candevstudio may  have some generation capability, look at CANdevStudio repository
• Alternative technologies
  • Why not using MQTT between the vehicle and the cloud (rather than other than W3C Gen 2) ? with MQTT there is a need to define the payloads
  • using maybe a NoSQL data base
  • Abhijeet: mentions the use of a replica of the car like AWS Car Shadow and like the Ditto digital twin - Device as a service: Ditto project from Eclipse https://www.eclipse.org/ditto/
• How to do high-volume tests ?
• Evaluating the performances ?
• What about security ?