👉 Pan computing, also known as federated or edge computing, is an architectural approach that involves distributing computational resources across multiple devices and locations, rather than relying solely on centralized cloud servers. In pan computing, data and processing tasks are performed closer to the source of data generation, often on local devices or edge servers, which reduces latency and enhances privacy by minimizing the need to transmit sensitive information over long distances to centralized data centers. This decentralized model enables more efficient and scalable computing, particularly beneficial for applications requiring real-time processing, such as autonomous vehicles, smart cities, and IoT devices. By leveraging the collective power of distributed resources, pan computing aims to optimize performance, reduce costs, and improve data security while maintaining high levels of user privacy and control.
