Fog and Edge
Both fog computing and edge computing provide the same functionalities in terms of pushing both data and intelligence to analytic platforms that are situated either on, or close to where the data originated from, whether that’s screens, speakers, motors, pumps or sensors.
“Fog computing and edge computing are effectively the same thing. Both are concerned with leveraging the computing capabilities within a local network to carry out computation tasks that would ordinarily have been carried out in the cloud,” said Jessica Califano, head of marketing and communications at Temboo.
Both technologies can help organizations reduce their reliance on cloud-based platforms to analyze data, which often leads to latency issues, and instead be able to make data-driven decisions faster. The main difference between edge computing and fog computing comes down to where the processing of that data takes place.
“Edge computing usually occurs directly on the devices to which the sensors are attached or a gateway device that is physically “close” to the sensors. Fog computing moves the edge computing activities to processors that are connected to the LAN or into the LAN hardware itself so they may be physically more distant from the sensors and actuators.” said Paul Butterworth, co-founder and CTO at Vantiq.
So, with Fog computing, the data is processed within a fog node or IoT gateway which is situated within the LAN. As for edge computing, the data is processed on the device or sensor itself without being transferred anywhere.
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