Cluster Computing
Cluster computing is a method of connecting multiple computers, known as nodes, to work together as a single system. This setup allows them to share resources and process data more efficiently than a single machine could. By dividing tasks among these computers, cluster computing enhances performance, reliability, and scalability. It's commonly used in large-scale applications like scientific simulations, data analysis, and web services, enabling faster processing and better handling of complex problems. In essence, it transforms a group of individual computers into a powerful team for tackling demanding computing tasks.
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Cluster computing is a method that connects multiple computers, known as nodes, to work together as a single system. This collaboration allows them to share tasks and resources, enhancing processing power and reliability. When one computer fails, others can take over its tasks, ensuring continuous operation. Cluster computing is commonly used for complex calculations, data analysis, and applications that require substantial computing power, such as scientific simulations and large-scale data processing. By pooling their resources, these interconnected computers can perform tasks faster and more efficiently than a single computer alone.