Abstract

An enormous amount of data is produced by the diverse devices connected to the Internet of Things (IOT) and must be transferred to a central server for review. The cloud is used to store and handle vast amounts of data, but its services have a far delay in responding, making them unsuitable for real-time applications occasionally. To deal with this, a novel concept known as fog computing is presented, which will speed up the process of obtaining information. This research has investigated how big data analytics can be improved by integrating fog computing with cloud computing. It also discusses issues associated with fog computing.

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