Cisco came up with the phrase "Fog Computing" to describe the practise of extending cloud computing to a network edge. As a result, it is also known as fogging or edge computing. It makes it easier for end devices and computing data centres to operate computation, storage, and networking services.
Fog nodes are the objects that make up the infrastructure for fog. In Fog Computing, the cloud and the physical host are separated by a layer that contains all the data, compute, and storage capabilities. These features are all oriented more toward the host. Processing moves closer to where data is created, which speeds up the process. Increased security is achieved while also increasing system efficiency. It can be used to track and assess the patient's health. It is possible to alert doctors in an emergency. As we desire as minimal latency as feasible for high-speed trains, it can be utilised for real-time rail monitoring. It can be used to optimise oil and gas pipelines. It generates an enormous amount of data, and storing it all in the cloud for analysis is inefficient. The following cases call for the adoption of Fog Computing: It is utilised for sending only a limited amount of data to the cloud. The host accesses this particular set of data less frequently since it is designated for long-term storage. It is utilised when there should be little delay low latency in the analysis of the data. It is applied anytime numerous services must be offered over a wide area and at various locations. Computing is required for equipment that performs severe computations and processing. Computing is utilised in real-world applications such as IoT devices (such as the Car-to-Car Consortium in Europe), devices with sensors and cameras (IIoT Industrial Internet of Things), etc. The amount of data that needs to be transferred to the cloud is lessened by this method. Network bandwidth is conserved as a result of the shorter distance that the data must travel. Decreases the system's reaction time. Because the data is close to the host, the system's overall security is improved. As businesses may analyse their data locally, it offers more. Increased traffic may cause congestion between the host and the fog node (heavy data flow). When a layer is added in between the host and the cloud, power usage rises. It is challenging to schedule work between host and fog nodes, as well as between Fog Computing and the cloud. It management becomes difficult because in addition to being computed, stored, and sent, data must also be encrypted and decrypted in order to be released. The technology is useful for use in the educational system because to its flexibility. The education system deals with a lot of data, and data analysis is crucial when it comes to evaluating the data and determining an individual's success. A variety of services with computational capabilities are available thanks to the internet of things. This aids in enhancing storage capacity across a variety of industries and also aids in streamlining company procedures. IoT makes it possible to maintain a connection with objects in order to share and exchange data. It has been noted that as technologies have advanced, control over the many applications has diminished significantly, necessitating system flow management. The value of Fog Computing has grown significantly in the sectors of education.
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