Fog operates on PC where data is collected locally and then sends data to the __________.

In the context of fog computing, the architecture involves processing data closer to the source or edge of the network, which allows for reduced latency, improved response times, and optimized bandwidth usage. When we discuss fog systems, the data collected locally on devices may eventually need to be transmitted for further analysis, storage, and integration with other systems.

The correct destination for this data after local processing in fog computing is the cloud. The cloud serves as a centralized repository where vast amounts of data can be stored and analyzed on a larger scale. Once the data is sent to the cloud, it can benefit from advanced computational resources and analytics capabilities that are not feasible on local devices, enabling richer insights and the ability to manage large datasets effectively.

While other options like 'server', 'database', and 'gateway' could play roles in data handling, the primary purpose of fog computing is to facilitate a more streamlined data flow from local devices to the cloud, where extensive storage and analytical functionalities reside. Thus, sending data to the cloud aligns with the foundational concept of fog computing in a way that other responses do not capture accurately.