The main use of distributed computing systems is to divide computational workloads across multiple interconnected machines or nodes, thereby enhancing performance and reliability. This approach enables parallel processing, allowing large-scale problems to be solved more quickly and efficiently. By sharing resources, these systems provide redundancy and fault tolerance, ensuring continuous operation despite individual node failures. Applications in areas such as big data analysis, cloud computing, and scientific simulations utilize distributed computing to handle vast amounts of data and complex calculations, improving scalability.