Optimizing Storage Efficiency with Compaction Process

What is the process of squeezing out unused space between records after deletion by sliding all of the undeleted records together in a single batch process called?

a. concatenation
b. merging
c. coalescence
d. compression
e. compaction

Answer:

The correct option is e. compaction.

Compaction is a crucial process in data storage management that helps in optimizing storage efficiency and reducing fragmentation. When records are deleted, empty spaces are left behind in the storage system. These empty spaces can result in fragmentation and inefficient use of storage capacity.

Compaction comes into play by squeezing out the unused space between records after deletion. This is achieved by sliding all the remaining records together in a single batch process. By doing so, compaction eliminates gaps between records, making storage more efficient and reducing fragmentation.

It is important to perform compaction regularly to maintain optimal storage performance. This process can be executed as a background task during low system activity or scheduled maintenance periods. Compaction is commonly utilized in various data storage systems such as databases, file systems, and disk storage.

Ultimately, compaction is a key component in data management that improves data access speed, reduces the overall storage footprint, and enhances storage efficiency. By implementing compaction, organizations can ensure their data storage systems operate at peak performance levels.