Description: Juxtaposed processing is a data processing method that allows multiple data streams to be handled simultaneously at the edge of the network, that is, close to the data generation source. This approach focuses on efficiency and latency reduction, enabling devices to process and analyze data in real-time without the need to send it to a central server. By performing processing at the edge, response times are minimized, and bandwidth usage is optimized, which is crucial in applications where speed and immediacy are essential, such as in IoT (Internet of Things), industrial automation, and real-time data analysis. The main features of juxtaposed processing include the ability to perform complex analysis on local devices, the integration of artificial intelligence and machine learning at the edge, and the capability to manage data in a distributed manner. This approach not only enhances operational efficiency but also allows for greater security by keeping sensitive data closer to its origin and reducing exposure to external threats.
