👉 Distribution computing, also known as distributed computing, is a model where computational tasks are divided among multiple interconnected computers or nodes, often over a network, to solve complex problems more efficiently than a single machine could handle. This approach leverages the combined processing power, memory, and storage resources of these distributed nodes, enabling parallel processing and enhancing scalability. By distributing tasks across a network, it can significantly reduce computation time, handle larger datasets, and improve fault tolerance. This model is widely used in various fields, including scientific research, big data analytics, cloud computing, and machine learning, where the ability to process vast amounts of information quickly and reliably is crucial.
