The correct answer is: D. Big data, Cloud systems and IoT.
Fog computing is a distributed computing paradigm that brings computation and data storage closer to the sources of data. It can be perceived in big data, cloud systems, and IoT.
In big data, fog computing can be used to process and store large amounts of data in real time. This can be done by deploying fog nodes at the edge of the network, which are closer to the data sources. This can help to improve the performance of big data applications and reduce the latency of data processing.
In cloud systems, fog computing can be used to offload some of the processing and storage tasks from the cloud to the fog nodes. This can help to improve the performance of cloud applications and reduce the cost of cloud computing.
In IoT, fog computing can be used to collect and process data from IoT devices. This can be done by deploying fog nodes at the edge of the network, which are closer to the IoT devices. This can help to improve the performance of IoT applications and reduce the latency of data processing.
Here is a brief explanation of each option:
- Option A: Big data and Cloud systems. Fog computing can be used in big data to process and store large amounts of data in real time. This can be done by deploying fog nodes at the edge of the network, which are closer to the data sources. This can help to improve the performance of big data applications and reduce the latency of data processing.
- Option B: Big data and IoT. Fog computing can be used in IoT to collect and process data from IoT devices. This can be done by deploying fog nodes at the edge of the network, which are closer to the IoT devices. This can help to improve the performance of IoT applications and reduce the latency of data processing.
- Option C: Cloud systems and IoT. Fog computing can be used in cloud systems to offload some of the processing and storage tasks from the cloud to the fog nodes. This can help to improve the performance of cloud applications and reduce the cost of cloud computing.
- Option D: Big data, Cloud systems and IoT. Fog computing can be perceived in big data, cloud systems, and IoT. It can be used to process and store large amounts of data in real time, offload some of the processing and storage tasks from the cloud to the fog nodes, and collect and process data from IoT devices.