Distributed Computing
Distributed computing is a computing paradigm that involves multiple computers connected to a network working together to solve a problem or perform a task. In distributed computing, the workload is divided among the connected computers, which communicate and coordinate with each other to complete the task. This approach allows for faster processing times and increased scalability, as additional computers can be added to the network to handle larger workloads. Distributed computing is commonly used in data-intensive applications, such as big data processing, scientific simulations, and machine learning, where large amounts of data need to be processed quickly.
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