Hierarchical Storage Management (HSM) is commonly employed in:
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A. B. C. D.Explanation.
Hierarchical Storage Management (HSM) is commonly employed in very large data retrieval systems.
Source: KRUTZ, Ronald L.
& VINES, Russel.
D., The CISSP Prep Guide: Mastering the Ten Domains of Computer Security, 2001, John Wiley & Sons, Page 71.
Hierarchical Storage Management (HSM) is a data storage technique that uses multiple storage devices, such as disk, tape, and cloud, to store data. The data is managed based on its usage patterns, with frequently accessed data being stored on faster, more expensive storage devices, while infrequently accessed data is moved to slower, less expensive storage devices. HSM is commonly employed in very large data retrieval systems.
Large organizations often generate enormous amounts of data that need to be stored, managed, and retrieved efficiently. HSM is an effective solution for managing the vast amounts of data generated by such organizations. It allows organizations to optimize their storage resources by using the most appropriate storage devices for each type of data. HSM also allows organizations to reduce their storage costs by using lower-cost storage devices for infrequently accessed data.
HSM is less commonly employed in very small data retrieval systems because these systems typically have fewer storage devices and simpler data management requirements. However, HSM can still be used in small data retrieval systems to optimize storage resources and reduce costs.
Shorter data retrieval systems may not require the complexity of HSM because they may have smaller amounts of data that can be stored on a single storage device. However, even short data retrieval systems can benefit from the ability to manage data based on usage patterns and the flexibility to use multiple storage devices.
In summary, while HSM is not employed in all data retrieval systems, it is commonly employed in very large data retrieval systems because it allows organizations to optimize their storage resources and reduce costs.