👉 Outside computing, also known as edge computing or distributed computing, refers to the practice of processing data and executing computational tasks closer to where the data is generated or consumed, rather than relying solely on centralized cloud servers. This approach minimizes latency and bandwidth usage by bringing computation and data storage to the "edge" of the network, often near IoT devices, sensors, or end-user locations. By doing so, outside computing enhances real-time data processing, improves response times, and reduces the load on central data centers. It is particularly beneficial in applications requiring immediate action, such as autonomous vehicles, smart cities, and industrial automation, where quick decision-making is critical. This paradigm shift not only optimizes network efficiency but also supports the growing demand for data-intensive applications in a connected world.
