👉 Continental computing, also known as distributed or grid computing, is a model where computational resources are spread across multiple geographically dispersed locations, often involving various types of hardware and software. This approach allows for the sharing of processing power, storage, and data among different systems, enabling more efficient handling of large-scale computational tasks that would be too resource-intensive for a single machine. By leveraging the collective capabilities of multiple nodes, continental computing enhances scalability, fault tolerance, and resource utilization. It is particularly beneficial in scientific research, big data analytics, and complex simulations, where tasks can be divided into smaller, manageable parts and processed in parallel across different locations. This model not only optimizes performance but also reduces costs by utilizing existing infrastructure more effectively.
