Abstract: Implementations disclosed herein include a method comprising detecting a workload request from a host, estimating a media cache fill-up rate based on the detected workload request, estimating a current media cache usage, predicting, based on the detected workload request, the estimated media cache fill-up rate and the estimated current media cache usage, a workload profile, and determining a preemptive media cache cleaning strategy based on the predicted workload profile.

Abstract: A data storage device includes a media cache and a main data store optimized for sequential reads and organized into bands. When the data storage device receives a read request from a host computing system, the requested data may be fragmented across the media cache and the main data store, causing constrained read throughput. Band rewrite operations to improve read throughput are selected based on a hit tracking list including a hit counter associated with each band on the main data store. The hit counter tracks the number of times a host computing system has requested data in logical block addresses corresponding to the various bands. The data storage device may select bands for band rewrite operations based on the number of hits in the associated hit tracking counters.

Abstract: Implementations disclosed herein include a method comprising receiving a TRIM request for a media cache in a storage media from a host, determining whether a TRIM range in the TRIM request overlaps with an active operation, invalidating the TRIM range responsive to determining that the TRIM range does not overlap with an active operation, and inserting at least one null node in the media cache. The method may comprise receiving a host read request, performing a media cache search for a read LBA range, and determining where data is located. If all the data is located in the media cache, the system reads from the media cache. If the data is located in a null node, patterning for the null node occurs. If the data is located partially in the main store, the media cache, or a null node, the data may be read, combined, and returned to the host.

Abstract: Implementations disclosed herein include a method comprising receiving a TRIM request for a media cache in a storage media from a host, determining whether a TRIM range in the TRIM request overlaps with an active operation, invalidating the TRIM range responsive to determining that the TRIM range does not overlap with an active operation, and inserting at least one null node in the media cache. The method may comprise receiving a host read request, performing a media cache search for a read LBA range, and determining where data is located. If all the data is located in the media cache, the system reads from the media cache. If the data is located in a null node, patterning for the null node occurs. If the data is located partially in the main store, the media cache, or a null node, the data may be read, combined, and returned to the host.

Abstract: Implementations disclosed herein include a method comprising detecting a workload request from a host, estimating a media cache fill-up rate based on the detected workload request, estimating a current media cache usage, predicting, based on the detected workload request, the estimated media cache fill-up rate and the estimated current media cache usage, a workload profile, and determining a preemptive media cache cleaning strategy based on the predicted workload profile.

Abstract: Implementations disclosed herein include a method comprising detecting a workload request from a host, estimating a media cache fill-up rate based on the detected workload request, estimating a current media cache usage, predicting, based on the detected workload request, the estimated media cache fill-up rate and the estimated current media cache usage, a workload profile, and determining a preemptive media cache cleaning strategy based on the predicted workload profile.

Abstract: Implementations disclosed herein include a method comprising receiving a TRIM request for a media cache in a storage media from a host, determining whether a TRIM range in the TRIM request overlaps with an active operation, invalidating the TRIM range responsive to determining that the TRIM range does not overlap with an active operation, and inserting at least one null node in the media cache. The method may comprise receiving a host read request, performing a media cache search for a read LBA range, and determining where data is located. If all the data is located in the media cache, the system reads from the media cache. If the data is located in a null node, patterning for the null node occurs. If the data is located partially in the main store, the media cache, or a null node, the data may be read, combined, and returned to the host.

Abstract: A data storage device includes a media cache and a main data store optimized for sequential reads and organized into bands. When the data storage device receives a read request from a host computing system, the requested data may be fragmented across the media cache and the main data store, causing constrained read throughput. Band rewrite operations to improve read throughput are selected based on a hit tracking list including a hit counter associated with each band on the main data store. The hit counter tracks the number of times a host computing system has requested data in logical block addresses corresponding to the various bands. The data storage device may select bands for band rewrite operations based on the number of hits in the associated hit tracking counters.

Abstract: A data storage device can employ a transducing head that accesses data stored on a data storage medium as directed by a controller. In response to experiencing a power disruption, the controller can predict at least one performance metric lost due to the power disruption and subsequently compensate for the power disruption by assuming the at least one predicted performance metric is correct.

Abstract: Implementations disclosed herein include a method comprising detecting a workload request from a host, estimating a media cache fill-up rate based on the detected workload request, estimating a current media cache usage, predicting, based on the detected workload request, the estimated media cache fill-up rate and the estimated current media cache usage, a workload profile, and determining a preemptive media cache cleaning strategy based on the predicted workload profile.