Originally presented on March 23, 2016.
Performance and scalability are critical for transportation and industrial control systems. Common requirements in both types of systems include the ability to predictably process system events in real time and the ability to fail gracefully. These common requirements give rise to an innovative idea of interoperability of the Data Distribution Service (DDS) protocol with deterministic Ethernet technologies: Time-Sensitive Networking (TSN) and Time-Triggered Ethernet (TTE).
Join experts from GE and RTI as they explore the challenges of deterministic Ethernet today and explain how the power fusion of DDS with deterministic Ethernet can effectively address them.
Andy Berner is an engineer in the Real-Time Embedded Systems Lab at the GE Research Center in Niskayuna, NY. He received his BS in Electrical Engineering from the Rochester Institute of Technology. He has over 30 years of experience developing mission and safety critical systems for aircraft and large scale hybrid electrical vehicles. Currently he is the System Architect for the Modular Control Architecture for GE Transportation. This highly complex system is being created to unleash the power of GE's Industrial Internet and provide a flexible, powerful platform for the next generation of GE Locomotives.
David Barnett has over 25 years of experience in distributed, real-time and embedded systems. He joined RTI in 2005 and is responsible for the company's product roadmap, product marketing and market development. Prior to RTI, he was vice president of marketing at a real-time middleware startup that was acquired by Borland Software Corporation. He was also director of product marketing at Green Hills Software and Mentor Graphics and a senior product marketing manager at Wind River Systems. David began his career as a software engineering lead at the Lawrence Livermore National Laboratory (LLNL) where he was responsible for the design and implementation of several distributed real-time applications. David has BA in Computer Science from the University of California at Berkeley.
Joel Markham is an engineer in the Real-Time Embedded Systems Lab for GE at the Research Center in Niskayuna, NY. He received his M.S. in Computer Science from Johns Hopkins University and B.S. in Computer Science and Mathematics from Clarkson University. As part of the Real-Time Embedded Systems Lab, he focuses on the development of industrial software and networking technologies to enable controls convergence for GE. He is a highly skilled software architect and technologist with a focus on safety-critical embedded systems. He cares deeply about the success of his team and enjoys developing solutions for highly complex systems.