VSS extension for safety related data points :

• How to model safety related features?
• Which additional meta-data do we need?

•  Project status
• Linux Kernel driver
• Upcoming extensions/updated IEEE 1722 standard

So this would be sort of an extended "Project status" on the technical side. (We also will have a demo on the showcase)

If desired can additionally  also give a more generic talk WHY IEEE-1722 currently is the hype for E/E networks, what the uses are and what is going on with the "Remote Control Protocol" discussion. In that case I suggest putting that talk on the "earlier" day whereas the Project update as suggested here might move to the last day.

Alternatively combine both aspects in 40 min)

Implementation of Virtual Sensors for predictive maintenance using VSS on automotive grade hardware 

• Concrete example of the implementation of a Virtual Sensor using VSS and Kuksa on an S32G3 Hardware 

• Agnostic implementation and flexibility in terms of input and output signals in a Software Defined Vehicle context 

• Instead of physical hardware, virtual sensors provide vehicle signals.

• New use cases can be enabled by adding VSS overlays corresponding to the new virtual sensor values (previously not available) on top of the standard VSS catalogue. 

• Extension of VSS to Predictive maintenance outputs, using the flexibility and openness of the VSS framework.

As connected vehicles generate an ever-growing volume of data, structuring and managing this information efficiently becomes critical. VSS provides a standardized way to define vehicle data, but how should it be stored in a database to ensure scalability, reliability, and optimal performance?

This session explores design patterns for storing VSS data in NoSQL document databases, focusing on real-world use cases such as fleet management systems. By analyzing access patterns and read/write frequencies within the VSS model, we can optimize storage efficiency and query performance. By the end of this session,  attendees will gain practical insights into data storage strategies for VSS data.