Live Demo: How to Reliably Handle Massive Data Streams Without Wasting CPU
Processing large amounts of sensor data doesn't necessarily mean high CPU load and performance bottlenecks. See what changes when the foundation is done right.
Modern medical systems process increasing amounts of data, from imaging to real-time monitoring. But as systems grow, communication overhead, CPU load and unexpected delays can quickly become a problem.
In this live demo, we show how the open-source communication technology iceoryx2 addresses exactly that. You'll see a running system comparable to medical imaging systems, which processes camera streams with consistently low overhead and low latency. This guarantees fast reaction times and cheaper CPUs for the same workload.
Originally developed for demanding automotive environments, iceoryx2 offers a mature foundation for modern medical systems, including safety-relevant applications. The ekxide team has more than fifteen years of experience developing high-performance communication in systems where large data streams and strict timing requirements are the norm.
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