Which of the following is related to processing large amounts of data across multiple systems?

The correct choice, which is grid computing, pertains specifically to the processing of large amounts of data distributed across multiple interconnected systems. Grid computing essentially harnesses the collective power of various computers, allowing them to work together on a single task or problem, effectively sharing their resources and processing capabilities. This is particularly useful for tasks that require extensive computational power, such as scientific simulations or large-scale data analysis.

Grid computing's architecture allows different organizations or institutions to collaborate and contribute resources, making it efficient for handling significant workloads that would be impractical for a single system to process. The focus on utilizing multiple computing resources to solve complex problems is what distinguishes grid computing within the context of data processing.

In contrast, while cloud computing provides on-demand access to a shared pool of computing resources, it does so via a centralized service model rather than explicitly aligning with the concept of distributed collaborative processing of data. Crowdsourcing involves gathering information or services from a large group of people, rather than directly relating to data processing across systems. Distributed computing, while similar to grid computing in terms of spreading tasks across multiple systems, does not encapsulate the specific methodology focused on harnessing resources collectively as grid computing does.