“For example, our solution is already implemented in a large fleet of school buses operating in rural areas in Texas. A gateway on board each bus provides WiFi for the passengers, but it also aggregates engine data for driver behavior monitoring. It logs speed and traffic density [and] the actual position of the bus… All [this] information enables us to build new data services that largely pay for the WiFi installation alone.”
RuBAN's user interface.
“As computing power moves to the edges of the network, data analysis has a bigger role to play at the edge,” continues Glynn. “With the RuBAN platform, it is as if we were dropping a virtual network engineer at gateway-level to act upon the data flow and decide remotely and on-the-fly what makes sense to be routed further and what should be dumped to reduce the stream of data.”
The RuBAN platform can present the data on any connected interface. It requires no customization and also handles automated network troubleshooting, response, and problem repair remotely. It can be used to connect many different industries horizontally, while the granularity of each data analysis solution is based on the customer’s specific requirements, established locally.
In the future, this sort of data intelligence could even become an integral part of software-defined networks.
— Julien Happich writes for EE Times Europe.
This article originally published on EE Times Europe.