Physics-based modeling and simulation for fog computing

August 11, 2016
In the words of John Milios, Sendyne’s CEO, “If you can model the physics of the system you wish to control, that model can accurately predict the future.” Thanks to Sendyne’s dtSolve, there’s a way to handle those computations at the edge without packing on the compute resources. The technology is used to accurately predict what will happen in the future using physics-based models. You describe your model as a set of differential equations, then set your parameters. And that’s it. dtSolve runs on a PC or a simple microcontroller-based system, such as an ARM M4. Hence, data is crunched/produced at the edge in near real-time. Fog computing—just like they drew it up.
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