Aired April 30, 2020 

Many medical, IIoT, and industrial systems require sharing of data across networks, across different transport protocols, or among devices. These systems often require capabilities such as fault-tolerance, scalability, low-latency, and sub-system isolation. DDS enables these types of applications by providing a data-centric, highly scalable and efficient databus architecture. Furthermore, layering databuses has many benefits, including scalability, isolation, and redundancy.

However, key questions must be answered when designing a layered databus system:

  • What are some recommended approaches for defining the layers?
  • How are the layers connected?
  • What effects does layering have on performance?
  • What are the different approaches to implementing a layered databus?

This Tech Talk will provide an overview of these topics and offer insights and recommendations for designing your own DDS-based systems.

Speaker:
John Patchin, Senior Applications Engineer, RTI

NEW! Download our new whitepaper on architecting a layered databus