Edge vs Fog Computing
Velibor Bozic
When we use edge computing and when we use fog computing
Edge computing is used when data is generated and processed at the edge of a network, closer to the source of the data. This is often used in IoT (Internet of Things) devices and other devices that are not always connected to the internet, such as industrial control systems and autonomous vehicles.
Fog computing, also known as "fogging," is a type of edge computing where data processing and storage takes place at the edge of the network, but closer to the end-user than traditional edge computing. This is often used in applications such as smart cities and transportation systems, where data needs to be processed and analyzed in real-time to support decision-making and control.
In summary, Edge computing deals with data that is generated and processed at the edge of a network and is used when devices are not always connected, while fog computing is used when data needs to be processed and analyzed in real-time to support decision-making and control.
Velibor Božić Yes, it is an accurate characterization of the primary distinctions between edge computing and fog computing.
Edge computing is utilized when data is created and processed near the edge of a network, such as in IoT devices and industrial control systems. The idea is to reduce the quantity of data that must be transmitted back to a centralized location for processing and storage, hence lowering latency and enhancing system responsiveness.
In contrast, fog computing is a sort of edge computing that is closer to the end user than typical edge computing. It is employed where real-time data processing and analysis is required, such as in smart cities and transportation systems. Fog computing can also serve to offload some of the cloud's processing and storage requirements, as well as give more localized data control and administration.
In summary, edge computing is concerned with data created and processed at the network's edge and is utilized when devices are not constantly connected, whereas fog computing is concerned with data that must be processed and analyzed in real-time to enable decision-making and control.
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