A data storage device includes a hard disk drive coupled to a printed circuit board (PCB), a volatile memory device coupled to the PCB, a non-volatile memory device coupled to the PCB, and a controller coupled to the PCB, such that the controller is in communication with the hard disk drive, the volatile memory device, and the non-volatile memory device. The controller is configured to identify patterns and/or structures of metadata for the hard disk drive, perform one or more of the following to the metadata to tailor the metadata: data shaping, content aware decoding, adaptive data trimming, and/or adaptive metablock sizing, and write the tailored metadata to the non-volatile memory device. The metadata is at least one of repeatable run out metadata, positioning error signal metadata, adjacent track interference metadata, and/or emergency power off metadata.

Techniques for generating action recommendations for a data tape system are disclosed. A data tape system generates action recommendations for a data tape based on library-based metadata messages as well as a measured data quality value of the data tape. The system initiates an operation resulting in the data tape interacting with a media drive. A data tape library controller generates one or more metadata messages based on a result of a requested operation. The metadata message may include information regarding the type of error and a default recommended course of action. The system generates the recommended action for the data tape using a trained machine learning model.

Techniques for determining a data tape read quality value are disclosed. A data tape system generates a value representing a quality of a data tape based on attributes of the data tape. The system calculates the data quality value using an algorithm based on: (a) a particular data tape error correction value, (b) data tape length value representing a length of data tape traversed during data-processing operations, and (c) a scaling factor. The scaling factor is based on a relationship between the particular data tape error correction value and a rate of degradation of the data tape. The scaling factor may be generated by applying a trained machine learning model to attributes of a data tape. The model generates a scaling factor for a particular data tape based on the attributes of the particular data tape.

Techniques for generating action recommendations for a data tape system based on a media drive calibration are disclosed. A system receives a request to perform an operation including an exchange between a data tape and a media drive. If the system determines that the operation is a data tape validation operation, the system determines whether the media drive is calibrated. If the calibration value of the media drive does not meet a threshold, the system performs a calibration procedure. The system may calibrate the media drive or replace the media drive with a calibrated media drive. The system performs the validation operation. Based on a validation result, a data tape quality value, and the media drive calibration value, the system generates a recommended action for a data tape.

A technique manages a storage system. In particular, multiple cable lists associated with multiple nodes included in the storage system are acquired, respectively, a cable list including an identifier of cable of at least one cable for connecting a node of the multiple nodes with a node other than the node. A distance between a first node in the multiple nodes and a second node in the multiple nodes is determined based on a comparison between a first cable list associated with the first node and a second cable list associated with the second node in the multiple cable lists. A network structure of the storage system is determined based on the distance between the first node and the second node. Accordingly, the distances between the nodes can be determined in a simple and effective manner, and thus the network structure of the storage system can be determined.

A method includes receiving a request to write a data block to a volume resident on a multi-tenant storage array, wherein the request is associated with a first tenant of the multi-tenant storage array, and determining whether the data block matches an existing data block on the multi-tenant storage array, wherein the existing block corresponds to a second tenant. In response to determining that the decrypted data block matches the existing data block: encrypting the existing data block with a shared volume encryption key; encrypting the shared volume encryption key with a first tenant encryption key and providing the shared volume encryption key encrypted with the first tenant encryption key to the first tenant; and encrypting the shared volume encryption key with a second tenant encryption key and providing the shared volume encryption key encrypted with the second tenant encryption key to the second tenant.

According to the embodiments, an external storage device switches to an interface controller for supporting only a read operation of nonvolatile memory when a shift condition for shifting to a read only mode is met. A host device switches to an interface driver for supporting only the read operation of the nonvolatile memory when determining to recognize as read only memory based on information acquired from the external storage device.

Example tiered storage systems, storage devices, and methods provide intelligent data access across tiered storage systems. An example system can comprise one or more computing devices, a file system, an object storage system comprising an object storage, and a data tiering application. The data tiering application is executable by one or more computing devices to perform operations comprising determining, using machine learning logic, a cluster of associated files stored in the file system; and archiving the cluster of associated files from the file system to the object storage coupled for electronic communication to the file system via a computer network.

In a storage system including a plurality of nodes that provide a storage area and a drive that physically stores data, a parity group is configured with a plurality of data including user data stored in the storage area and redundant data for protecting the user data, a plurality of data in the parity group are stored in a storage area within one predetermined range across a plurality of nodes, and processing for dividing the predetermined range or processing for merging a plurality of predetermined ranges is performed based on a state of the predetermined range.

To selectively use cost, performance, reliability, and security characteristics of storage devices in an appropriate manner. A storage system has a plurality of volumes of which reliability and security levels differ from one another, and a controller of the storage system determines a reliability requirement and a security requirement of a file based on at least one of a type and a content of the file, determines a volume to store the file based on the determination result, and stores the file in the determined volume.