Abstract:

The era of Internet of Things (IoT) devices has introduced a challenge: how to handle real-time streaming data from sensors and actuators effectively. This data needs rapid processing, analysis, and actionable insights for immediate decision-making and on-field actions. However, relying on distant cloud servers for this real-time processing isn't practical due to network latency issues. The time it takes to transmit data back and forth between the field and a remote cloud server is incompatible with the stringent demands of mission-critical applications. In response to this, a novel technology architecture called 'Fog Computing' has emerged. Unlike traditional cloud setups, Fog Computing places a Fog server in close proximity to IoT devices like sensors and actuators. This server instantly processes incoming data without experiencing significant latency delays. The Analytics Software on the Fog server rapidly derives conclusions, makes decisions, and triggers actions in real time, ensuring the immediate needs of critical applications are met.

Description:

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