👉 Distributed computing is a paradigm in which computational tasks are divided among multiple interconnected computers, or nodes, to process large datasets or solve complex problems more efficiently than a single machine could alone. This approach leverages the collective power of a network of computers, enabling parallel processing and resource sharing, which significantly reduces computation time and enhances scalability. By distributing tasks across a cluster or grid of machines, distributed computing can handle massive data volumes and intricate computations, making it indispensable in fields such as scientific research, big data analytics, and cloud computing. The coordination of these nodes is managed through specialized software that ensures seamless communication and task allocation, optimizing overall performance and resource utilization.
