It does not make sense to always store the data in the data centers systems as the Internet of Things (IoT) started generating data from automate remote equipment and sensors. The answer to this quarry is Edge Computing. Edge Computing refers to small systems attached to the network on the site like a factory or other facilities in a way that all recorded data travels through them. Its sole purpose will be to filter the unnecessary data and make some sense of the recorded data. So the networks are not burdened. Constraints like power and size are unique to this field and the work to build systems and write their software is still in progress.
The Lightning Software Platform designed to accommodate machine learning and real-time analytics to the IoT Systems, Edge Computing Systems and even very low power processing components was announced by FogHorn Systems, a Silicon Valley startup. In things like busses, turbines, locomotives and pumps this Lightning Systems has been used but in a concept form.
David King CEO at FogHorn said, General Electric’s Predixindustrial IoT platform is also going to be incorporated with a Lightning Systems later this year. IoT Systems have the capability to inform a service team about the wear and tear of a component or automatically shut down a malfunctioning system. Along with that industrial IoT Systems can monitor a number of things and act according, but the analysis required can be done a central location or an Edge System.