So what is the difference between a fog and a cloud? Well, actually bandwidth is part of the answer and where data needs to be situated.
Slow connections are driving the cloud closer to the actual asset that has the information, the cloud needs. “Fog computing, or edge computing” is getting closer to those local computers and devices to solve this bandwidth problem we all will be having it seems.
Solutions are looking far more to the how and where we store data and how we are setting about how to access it.
Fogging solutions are coping with the problem that sensor loading is creating altering what goes to the cloud and why
The reason why I’m interested in this, on a dedicated site discussing platforms and ecosystems, is that this fog computing is attempting to solve multiple problems at the edge where innovation lies far more for us to understand, where the devices and their users generate the insights and raw data.
So those wanting to collaborate around platforms need to be able to communicate both in human and machine related understanding, at all the edges. It is the connections within distributed infrastructure that will partly drive platform participation and build the ecosystem effect as the data will generate the insights required as ‘fog nodes’ will increasingly manage the language, data and protocols to allow this connecting universe.
As we connect new kinds of things to the internet we create new business opportunities. Examples like pay-as-you-drive vehicle insurance. lighting-as-a-service and machine-as-a-service and this all need those different open structuring, requiring greater levels of collaboration but we also need increasing interoperability of what ‘talks’ to what, increasingly, in real-time.
A key insight here is the value of managing and controlling these fogging nodes becomes potentially the new battleground of intelligent devices or controllers. These nodes become the true ‘gatekeepers’ in connected networks, they dictate nearly everything going on. Continue reading