The correct answer is: D. fog computing
Fog computing is a distributed computing paradigm that brings computation and data storage closer to the sources of data. This can improve response times and reduce bandwidth requirements. Fog computing is often used in applications such as smart cities, industrial automation, and autonomous vehicles.
Cloud computing is a type of computing that relies on sharing resources over a network. This allows businesses to access computing power, storage, and other resources on an as-needed basis. Cloud computing can be more cost-effective and scalable than traditional on-premises computing.
Edge computing is a type of distributed computing that brings computation and data storage closer to the edge of the network. This can improve performance and reduce latency for applications that require real-time data processing. Edge computing is often used in applications such as autonomous vehicles, smart cities, and industrial automation.
Mist computing is a type of distributed computing that brings computation and data storage even closer to the edge of the network. This can improve performance and reduce latency for applications that require real-time data processing. Mist computing is often used in applications such as autonomous vehicles, smart cities, and industrial automation.
In summary, fog computing is a type of distributed computing that brings computation and data storage closer to the sources of data. This can improve response times and reduce bandwidth requirements. Fog computing is often used in applications such as smart cities, industrial automation, and autonomous vehicles.