👉 Distributed Computing, or D Computing, is a paradigm that involves the coordination and integration of multiple computing resources, such as computers, servers, or even mobile devices, to solve complex problems or perform tasks more efficiently than a single machine could alone. These resources are typically geographically dispersed and interconnected through networks, allowing them to share data and computational power in real-time. By leveraging the collective capabilities of these distributed nodes, D Computing can enhance performance, scalability, and reliability, making it particularly useful for applications like big data analytics, cloud computing, and real-time processing. This approach not only optimizes resource utilization but also provides resilience against failures, as tasks can be dynamically reassigned among available nodes.