What Is Fog Computing With Example?
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Fog computing, also known as fog networking or edge computing, is a distributed computing infrastructure in which data, compute, storage and applications are hosted at the edge of the Internet near the source of data. For example, a fog computing system can be used to monitor the temperature of industrial equipment at a manufacturing plant. Data from the sensors is collected and analyzed by the fog computing system, and any necessary actions are taken in real-time. The fog computing system eliminates the need for the data to be sent to a centralized cloud for processing.
Fog computing, sometimes referred to as fog networking or fogging, is a distributed computing infrastructure in which data, compute, storage, and applications are provided at the edge of the network. It is a service-oriented architecture concept that allows data from bigger clouds to be moved and stored closer to the source or the target, thus reducing latency and improving response times. An example of fog computing would be intelligent traffic lights which transmit data directly to vehicles in order to reduce wait times and improve safety.
Fog computing is an extension of cloud computing that brings computing and storage capacity closer to the source of data. It works by creating local “fog nodes” in the Internet of Things (IoT) network. These nodes, located on the edge of the network, can perform tasks and analyze data before sending it to the cloud for further processing. The aim is to reduce latency, decrease bandwidth, and reduce reliance on the cloud.
An example of fog computing in action is a connected traffic system. Sensors placed around an urban area can measure air quality, traffic levels, and other environmental data. These sensors collect the data and store it in the fog nodes, which then analyze the data and send only relevant information to the cloud. The cloud can then be used to aggregate the data from all the sensors and create an overall picture of the area’s environmental conditions.