Closer to the Cloud or Closer to the Ground? Fog vs Edge Computing.

  Closer to the Cloud or Closer to the Ground? Fog vs Edge Computing   Introduction: Imagine a self-driving car that takes half a second too long to detect a pedestrian, or a factory sensor that reports a critical fault after the machine has already failed. In a world where billions of IoT devices generate data every second, waiting for that data to travel all the way to a centralized cloud server and back is no longer good enough [2], [3]. Figure 1: Scenario showing why low-latency processing matters. Image Source: AI-generated image This is where Edge computing and Fog computing step in – two computing paradigms built to bring processing power closer to where the data is created. While both aim to reduce distance between data generation and data processing, they take different paths to get there. Edge computing pushes computations directly to the device or sensor level, while fog computing creates an intermediate layer between the edge and the cloud, distri...