👉 Centered computing is an architectural approach that aims to optimize the performance and efficiency of distributed systems by placing computational resources closer to the data sources and end-users, rather than relying solely on centralized cloud servers. This method reduces latency, enhances real-time processing capabilities, and improves overall system responsiveness by minimizing the distance data must travel. It involves strategically placing edge servers, fog nodes, or other computational units at the network's periphery, enabling parallel processing and local data handling. This decentralization not only alleviates the load on central servers but also supports applications requiring immediate data processing, such as IoT, autonomous vehicles, and augmented reality, by ensuring that data is processed where it's generated, thus providing a more seamless and efficient user experience.
