Difference between Edge Computing and Fog Computing

Edge computing and fog computing are two computing paradigms that are used to process data generated by devices in the Internet of Things (IoT) ecosystem.

Edge computing is a decentralized computing model that processes data at the network’s periphery or near the data-generating device. It involves processing data on a sensor-equipped product that collects the information or a gateway device physically close to those sensors.

On the other hand, fog computing is a distributed computing model that extends the capabilities of edge computing to a larger network of devices and sensors. It distributes computing resources across a network, enhancing data processing closer to the source. Fog computing covers a broader area, serving multiple edge devices and users.

In summary, while both paradigms bring computing processes closer to where data is generated and collected from, edge computing focuses on individual devices, whereas fog computing serves multiple edge devices and users.

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