Which describes a defining architectural feature of fog computing?

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Multiple Choice

Which describes a defining architectural feature of fog computing?

Fog computing is defined by moving processing closer to where data is generated, at the network edge. This setup lets devices, gateways, and nearby servers analyze and act on data locally, delivering real-time or near-real-time responses and easing the burden on central clouds. Because computation happens near the source, bandwidth is used more efficiently and latency is minimized, which is crucial for time-sensitive IoT applications. The idea behind fog computing contrasts with cloud-only approaches, where data is sent to a distant data center for processing. Pushing all data to a central location increases latency and can create bottlenecks, especially in environments with many devices or intermittent connectivity. Similarly, assuming all data must go to a central data center or that latency must rise would not align with fog’s goal of decentralizing computation.

Fog computing is defined by moving processing closer to where data is generated, at the network edge. This setup lets devices, gateways, and nearby servers analyze and act on data locally, delivering real-time or near-real-time responses and easing the burden on central clouds. Because computation happens near the source, bandwidth is used more efficiently and latency is minimized, which is crucial for time-sensitive IoT applications.

The idea behind fog computing contrasts with cloud-only approaches, where data is sent to a distant data center for processing. Pushing all data to a central location increases latency and can create bottlenecks, especially in environments with many devices or intermittent connectivity. Similarly, assuming all data must go to a central data center or that latency must rise would not align with fog’s goal of decentralizing computation.

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