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Edge Computing vs. Fog Computing – The Difference | Techfunnel – TechFunnel

For enterprises, cloud computing has come as a boon, as it helps deliver IT services and resources in an on-demand mode, without organizations having to invest in infrastructure or specialists to serve their purpose. Going one step further, the latest innovation of edge computing vs. fog computing now helps enterprises to crunch massive volumes of data for their requirements. In the absence of these innovations, enterprises faced extensive latency due to data traffic. With edge computing and fog computing, large amounts of data can be processed in seconds to create a faster response.

For instance, let’s take the example of Tesla’s self-driving model, where the sensors continuously monitor the movement of the car. The moment there is an obstacle, the car must stop and or probably navigate and move around without causing any injury to the pedestrian. In this case, when there is an obstacle to the car, the data must be transmitted and processed very fast to avoid any accident. The slightest delay can prove dangerous. To address such challenges, edge computing, and fog computing process data and provide the best actions immediately.

This UrIoTNews article is syndicated fromGoogle News

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