👉 Distributed computing is a paradigm where computational tasks are divided among multiple interconnected computers, or nodes, to solve problems more efficiently and effectively. This approach leverages the combined resources of these nodes, including processing power, memory, and storage, to handle large-scale computations that would be impractical or impossible for a single machine. By distributing the workload, tasks can be executed in parallel, significantly reducing processing time and enabling the handling of complex data sets. Communication between nodes is facilitated through a network, ensuring data consistency and coordination. This architecture not only enhances performance but also improves fault tolerance, as the failure of one node does not necessarily halt the entire computation. Distributed computing is widely used in fields like big data analytics, cloud services, and scientific research, where massive computational power is required.
