Fog computing is best described as

• A. A centralized data center approach.
• B. A model of distributed computing in large data centers around the world.
• C. Computing resources located closer to the edge to reduce latency.
• D. A technology that only stores data in the cloud.

Answer: (C)

Fog computing centers on moving computing resources closer to where data is generated, creating a layer between edge devices and the cloud to enable faster processing and decision-making. This proximity reduces latency and bandwidth needs, which is crucial for real-time IoT applications. That’s why describing fog computing as computing resources located near the edge to reduce latency is the best fit. It differs from a centralized data center approach or globally distributed data centers, which imply distant processing, and it isn’t just about storing data in the cloud—the local processing and short response times are core.