Description: Edge optimization refers to a set of techniques and strategies designed to improve the performance and efficiency of edge computing systems. This approach aims to maximize processing capacity and minimize latency by bringing data processing closer to the source of generation, that is, to the ‘edge’ of the network. As the number of devices connected to the Internet and real-time data generation increases, edge computing becomes essential for effectively handling the workload. The main features of edge optimization include reducing response time, efficiently using bandwidth, and enhancing security by processing data locally rather than sending it to a centralized data center. This not only improves user experience but also enables businesses to make faster decisions based on real-time data. Edge optimization is particularly relevant in applications requiring immediate processing, such as the Internet of Things (IoT), artificial intelligence, and real-time data analytics, where speed and efficiency are crucial for operational success.
