Fog

Computing Fog Computing, also known as Edge Computing, is a distributed computing system that enables data processing and analytics at or near the source of data collection rather than sending it to a powerful centralised data center for processing. Fog Computing is significant because it reduces data latency and provides high availability by decentralising data processing. Advantages of Fog Computing include the ability to securely process data at the edge of the network, providing real-time insights and allowing users to make more informed decisions based on timely and accurate data. Fog Computing also offers cost savings as it eliminates the need to transfer large amounts of data over a network to a data center. Applications of Fog Computing include predictive maintenance, Internet of Things, autonomous vehicles, and distributed data streaming.