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Which term refers to the strategy of processing data from IoT devices at or near the source where it is generated?

  1. Cloud computing

  2. Fog computing

  3. Distributed computing

  4. Remote processing

The correct answer is: Fog computing

The strategy of processing data from IoT devices at or near the source where it is generated is known as fog computing. This approach highlights the importance of analyzing and acting on data close to the source, rather than relying solely on centralized cloud computing resources that may be located far away. Fog computing enhances responsiveness and reduces latency by enabling quick decision-making, which is particularly important for IoT applications that require real-time data processing. This local processing can lead to improved performance by minimizing the amount of data that needs to be transmitted over networks, thereby reducing bandwidth requirements. It also contributes to better security and privacy, as sensitive data can be processed closer to its origin rather than being sent to a remote cloud server. While the other terms relate to data processing, they do not specifically focus on the localized processing aspect featured in fog computing. Cloud computing primarily relies on centralized data centers for processing, distributed computing addresses the allocation of tasks across multiple systems but doesn't inherently emphasize proximity to the data source, and remote processing typically involves processing data away from the source, rather than at or near it.