Which computing solution connects many smaller systems to create a unified processing resource?

Grid computing is a solution that connects multiple smaller systems, often referred to as nodes, to form a single, unified processing resource. This collaborative approach allows for the distribution of computational tasks across a network of computers, leveraging their collective processing power to solve complex problems more efficiently.

The architecture supports scalability and flexibility by incorporating various systems that could be geographically dispersed, effectively creating a virtual supercomputer from underutilized resources. This makes grid computing particularly valuable for applications that require significant computational power over a limited time frame, such as large-scale scientific simulations or data analysis tasks.

In contrast, the other options focus on different computing paradigms. Mainframe computing typically refers to powerful, centralized systems that handle large volumes of transactions and data but do not distribute processing tasks across multiple systems. Virtual computing mainly deals with the abstraction and virtualization of resources rather than connecting numerous smaller systems. Supercomputing, while also powerful, usually refers to highly advanced single systems designed for exceptionally high performance on specific, complex computations, rather than a network of smaller systems working together.