Cloud computing stores and processes data in data centers that are situated in remote locations. The data generated from many devices is vast with the launch of IoT. Fog computing and fog computing applications came into being as a result. Fog computing is a distributed architecture, and the smart devices present at the edge of the network can control some of the application processes. Although most programs in the cloud are also handled.
In basic words, the whole process that has to be performed in the cloud is replaced by smart devices at the edge of the network. The volume of data being transmitted to the cloud will be limited. In this article, we will learn, fog computing applications, fog architecture, fog layer, fog computing applications list and, the benefits of fog computing.
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Fog computing is a decentralized computer architecture that processes and preserves information between the source of origin and the resources of the cloud. This contributes to the minimization of overhead data transfer and ultimately increases computational efficiency on cloud networks by reducing the need to process and retain vast quantities of superfluous data. The Fog computing paradigm is primarily driven by a continuous rise in Internet of Things (IoT) devices, where an ever-growing amount of data is generated from an ever-expanding array of devices (in terms of scale, variety, and velocity).
Cisco, which recorded the name ‘Cisco Fog Computing,’ which played on cloud computing when the clouds are high in the atmosphere, and the fog applies to the clouds near the ground down, is synonymous with the term fog computing. An OpenFog Collaboration was set up in 2015 with founding members ARM, Cisco, Dell, Intel, Microsoft, and Princeton University, and additional participating members including GE, Hitachi, and Foxconn. The loosely allied, and largely synonymous, concept ‘edge computing’ was introduced by IBM (although not exactly in some situations).
Fog computing provides cloud computing to manage the greater array of regular IoT data generated. It helps to overcome the problems of data velocity, variety, and volume explosion. It also increases understanding and reaction to incidents by eradicating an intellectual round trip to the cloud.
Also, discharging gigabytes of the network from the prime network helps minimize the costs of extra bandwidths. Furthermore, by analyzing it inside the organization, it can protect the fragile Internet of Things content. Therefore, businesses that implement fog computing achieve quicker and deeper insights, leading to improved market agility, enhanced protection, and a higher quality of operation.
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