What memory management feature speeds up data retrieval?

The feature that speeds up data retrieval in the context of memory management is typically paging. Paging allows an operating system to retrieve data from secondary storage in fixed-size blocks, which are called pages. When a program requires data that is not currently in the physical memory (RAM), the system can use paging to quickly swap in the needed page from the disk storage. This process minimizes the time taken to access the data, facilitating faster data retrieval.

By organizing memory into pages, the system can fill RAM with only the necessary data and reduce fragmentation, leading to more efficient use of memory resources. This helps improve overall system performance, particularly in environments where memory management is critical, such as in cloud computing.

Other options have their own purposes: bursting relates to temporarily increasing the capacity of resources, ballooning pertains to managing memory in virtualized environments by adjusting the amount of allocated memory, and overcommitment refers to allocating more resources than are physically available based on the expectation that not all resources will be used simultaneously. While these features play important roles in resource management, they do not specifically focus on speeding up data retrieval as paging does.