Editing User:Farhan (section)

==='''Introduction'''===
Edge computing is a new model that locates computer processing near the source of data generation in an effort to restrict latency and bandwidth consumption. Edge computing is distinct from traditional cloud-based systems with centralized data centers employed for processing data in that computational power is spread across devices and local nodes within the network at the edge. The architectural change is a necessity in real-time applications with stringent high-speed data processing demands like autonomous cars, health monitoring, and industrial automation.

The infrastructure of edge computing consists of various layers, and each one performs its function. At the ground level, there are edge devices like sensors and actuators that collect data and perform the initial processing. Then there is fog computing, which is an intermediate layer between various edge nodes, collects data, pre-processes, and transmits it to the cloud. The upper cloud performs the heavy computation and long-term storage of data.

The confluence of IoT, mobile computing, digital twins, and cloud infrastructure creates a robust edge computing architecture. We present in this chapter the basic building blocks and layers of edge computing, such as IoT and digital twins, cloud infrastructure, fog computing, and the edge-cloud continuum.
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