6

Marketing, it's mainly just marketing... There is one possible interpretation that has fog computing being more of a distributed system in that nodes on the edge of the network share information laterally between themselves vs edge computing which does data aggregation and reduction before forwarding on to a central point. ... but it really is just ...


6

Remember, you are always processing data at the edge, even if it's not obvious. The choice to sample data at a particular frequency, whether that is 1Hz or 100Khz (particularly with analogue data), is a form of edge processing. Very few scenarios will transmit data at the maximum clock cycle of the processor. Some scenarios where explicit edge processing is ...


4

A security camera would be the obvious example. if you want to do motion detection on the image (or face recognition), you have the choice of either streaming the video feed to the cloud, or processing it locally. This sort of application will probably be marginal for upstream bandwidth on a lot of domestic internet connections today - that gives more ...


2

I would second that, they are both Embedded Systems / network architectures rather than much else. These solutions have been in use for many, many years in the embedded and distributed systems industries. The new terms of IoT, Edge, Fog, etc all really dress technical architectures for mass market hysteria. The critical thing is to determine if your ...


1

The Linux Foundation has defined Edge as 20ms or less communication latency. I guess Fog would be anything between that and your formal Cloud architecture.


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