Cloud Computing- Keeping data and computational processes in a central location (historically a mainframe) and accessing them with a less-powerful client, or in other words, a client-server architecture, is an old concept that has been given a new name: cloud computing.

Edge computing- It is a distributed information technology (IT) architecture in which client data is processed as near to the original source as is practical at the network's edge.

The lifeblood of contemporary business is data, which offers invaluable business insight and supports real-time control over crucial corporate operations. The quantity of data that can be routinely acquired from sensors and IoT devices working in real time from remote places and hostile operating environments is enormous, and it is available to organisations today practically anywhere in the world. (Bigelow, 2022)

Fog computing- Between the cloud and the edge is a compute layer called the fog. Fog computing can receive data from the edge layer before it reaches the cloud and determine what is useful and what isn't, unlike edge computing, which may send massive quantities of data directly to the cloud. The unnecessary data can be removed, evaluated at the fog layer for distant access, or used to inform localised learning models while the pertinent data is stored in the cloud.(Overheid, 2022)

Latest trends used in daily life -

Manufacturing- Environmental sensors were added to the manufacturing facility with the help of edge computing, giving information on how each product component is put together and stored, as well as how long the components are kept in stock. The factory facility and manufacturing activities can now be managed by the manufacturer with greater speed and accuracy.

Farming- The company can monitor water use, nutritional density, and identify the best time to harvest using sensors. The effects of environmental conditions are discovered through data collection and analysis, and crop growing algorithms are continually improved to guarantee that crops are picked in optimal condition.

Network Optimization- By monitoring user performance across the internet and using analytics to identify the most dependable, low-latency network path for each user's data, edge computing can aid in the optimization of network performance. In actuality, edge computing is employed to "steer" traffic across the network for the best performance of time-sensitive traffic.

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