With IoT projects, often it's better to use fog computing where compute, storage and communications resources are place in a continuum between the cloud and the edge.

Choosing between edge and fog computing depends on the application’s need for speed, scalability, and the level of coordination across devices.

Fog brings the power of the cloud closer to the network edge and improves latency for mission-critical applications.

The differences between general cloud computing and its “edge” and “fog” computing offshoots have stymied even many professionals since their introduction. But when it comes to general consumers, IT ...

Fog computing refers to a decentralized computing structure, where resources, including the data and applications, get placed in logical locations between the data source and the cloud; it also is ...

Learn about the different applications of fog computing versus edge computing in higher education, including edge computing structural differences and how fog computing can improve IoT security on ...

Fog computing leverages and unifies a surprising number of cutting-edge technologies into a comprehensive whole.

What are the use cases of fog computing? The applications of fog computing are many, and it is powering crucial parts of IoT ecosystems, especially in industrial environments.

Fog nodes are the new ‘cool kid’ components for edge computing. However, we risk overusing them if we don’t understand their true purpose at the edge Think of a fog computing node as a ...