Abstract: Various illustrative aspects are directed to a data storage device, comprising one or more disks; an actuator mechanism configured to position one or more heads proximate to a corresponding disk surface of the one or more disks; and one or more processing devices. The one or more processing devices are configured to receive signals indicative of conditions of a write operation by the selected head. The one or more processing devices are further configured to determine, based on the signals, a verification status indicating whether the write operation was successful. The one or more processing devices are further configured to output the verification status within a selected time limit.

Abstract: A streaming data interface or a ‘telemetry tap’ in conjunction with a host defined telemetry program is used to regulate the type and amount of telemetry data sent to the host device. The amount of telemetry data provided to the host is based on a request. The controller will receive and execute valid host generated programs which define which telemetry operations should occur and be forwarded to the host via the streaming telemetry mechanism. The controller will use the user/host programmable mechanisms that will collaborate with internal drive logging mechanisms. The controller will watch for the host-defined programmable mechanisms and send the requested amount of telemetry data to the host once the programmable mechanisms have executed.

Abstract: Various illustrative aspects are directed to a data storage device, comprising one or more disks; an actuator system configured to position a selected head among one or more heads proximate to a corresponding disk surface among the one or more disks; and one or more processing devices. The selected head comprises a write element, an assistive energy emitter, an energizing interface coupled to the assistive energy emitter, and a detector. The assistive energy emitter is driven separately from driving of the write element. The one or more processing devices are configured to detect, via the detector, an energy anomaly at the energizing interface; detect, in response to detecting the energy anomaly, whether a previously written track yields an anomalous readback signal; and rewrite, in response to detecting that the previously written track yields an anomalous readback signal, data designated for the previously written track to the previously written track.

Abstract: Various illustrative aspects are directed to a data storage device, comprising one or more disks; an actuator mechanism configured to position one or more heads proximate to a corresponding disk surface of the one or more disks; and one or more processing devices. The one or more processing devices are configured to receive signals indicative of conditions of a write operation by the selected head. The one or more processing devices are further configured to determine, based on the signals, a verification status indicating whether the write operation was successful. The one or more processing devices are further configured to output the verification status within a selected time limit.

Abstract: The present disclosure is directed to a data storage device that includes a refresh monitor based on a learning based feedback control. The refresh monitor is used to control refresh operations to account for effects of writes to media, e.g., adjacent track interference (ATI). Read operations are analyzed to derive damage information usable to update one or more probability distributions, upon which the learning is updated or reinforced and carried forward. In one embodiments, the data storage device includes control circuitry configured to maintain a refresh monitor based on a learning system, analyze a read operation with the refresh monitor; adjust the refresh monitor by updating the one or more probability distributions based on the analyzed read operation; and execute a refresh operation to refresh data based on the adjusted refresh monitor.

Abstract: A Data Storage Device (DSD) includes a memory for storing data, and a controller configured to execute firmware or code to perform a task. While performing the task, the controller is further configured to assign unique identifiers to respective firmware or code portions that are executed to perform the task, and create a list or data structure including the unique identifier assigned to the firmware or code portion that created the task. A unique identifier is added to the list or data structure for each firmware or code portion executed for the task. The list or data structure indicates the order in which the firmware or code portions are executed.

Abstract: A Data Storage Device (DSD) includes at least one Non-Volatile Memory (NVM) configured to store data and a Non-Volatile Cache (NVC). Write data is stored in a volatile memory in preparation for writing the write data in the at least one NVM. In response to a power loss of the DSD, at least a portion of the data stored in the volatile memory is transferred from the volatile memory to the NVC and one or more parameters are determined for deriving a margin representing an additional amount of data for transfer from the volatile memory to the NVC using a remaining power following a power loss. A size of the NVC is adjusted based at least in part on the derived margin.

Abstract: An approach to exchanging information between data storage devices (DSDs) within a secure data center and an external fleet health manager (FHM) application includes querying one or more DSDs for data to be analyzed, including providing a unique query identifier, whereby a particular DSD responsively provides (i) a device identifier identifying itself, (ii) a random key code for authentication and integrity purposes, (iii) the data to be analyzed, and (iv) the query identifier for the FHM application to verify. The FHM application can then digitally sign a corrective action payload, using the key code from the particular DSD, including the query identifier and the device identifier and a recommended corrective action, and transmit the signed corrective action payload to the data center for application to the particular DSD, whereby the DSD can execute pre-defined fundamental repair action operation(s) corresponding to the corrective action for in-situ repair.

Abstract: An approach to identifying a corrective action for a data storage device (DSD), such as one implemented in a fleet of DSDs in a data center, involves receiving error data about excursions from normal operational behavior of the DSD, inputting data representing a particular excursion into a probabilistic decision network which characterizes a set of DSD operational metrics and certain DSD controller rules that represent internal controls of the DSD and corresponding conditional relationships among the operational metrics, determining from the decision network the likelihood that one or more possible causes was a contributing factor to the particular excursion, and determining a corrective action for the particular excursion based on the determined likelihood of a particular cause of the one or more possible causes. The corrective action may then be shared with the DSD for in-situ execution of corresponding self-repair operations.

Abstract: A data storage device is disclosed comprising a non-volatile storage medium (NVSM) having a plurality of data sectors and a plurality of reserve sectors. A map-out value is generated for each of a first plurality of the data sectors based on a read latency of each of the first plurality of data sectors, and when the map-out value of a first data sector in the first plurality of data sectors exceeds a threshold, a first logical block address (LBA) is mapped from the first data sector to a first reserve sector. When the map-out value of a second data sector in the first plurality of data sectors exceeds the map-out value of the first data sector, the first LBA is mapped from the first reserve sector back to the first data sector, and a second LBA is mapped from the second data sector to the first reserve sector.

Abstract: An approach to exchanging information between data storage devices (DSDs) within a secure data center and an external fleet health manager (FHM) application includes querying one or more DSDs for data to be analyzed, including providing a unique query identifier, whereby a particular DSD responsively provides (i) a device identifier identifying itself, (ii) a random key code for authentication and integrity purposes, (iii) the data to be analyzed, and (iv) the query identifier for the FHM application to verify. The FHM application can then digitally sign a corrective action payload, using the key code from the particular DSD, including the query identifier and the device identifier and a recommended corrective action, and transmit the signed corrective action payload to the data center for application to the particular DSD, whereby the DSD can execute pre-defined fundamental repair action operation(s) corresponding to the corrective action for in-situ repair.

Abstract: An approach to identifying a corrective action for a data storage device (DSD), such as one implemented in a fleet of DSDs in a data center, involves receiving error data about excursions from normal operational behavior of the DSD, inputting data representing a particular excursion into a probabilistic decision network which characterizes a set of DSD operational metrics and certain DSD controller rules that represent internal controls of the DSD and corresponding conditional relationships among the operational metrics, determining from the decision network the likelihood that one or more possible causes was a contributing factor to the particular excursion, and determining a corrective action for the particular excursion based on the determined likelihood of a particular cause of the one or more possible causes. The corrective action may then be shared with the DSD for in-situ execution of corresponding self-repair operations.

Abstract: The present disclosure is directed to a data storage device that includes a refresh monitor based on a learning based feedback control. The refresh monitor is used to control refresh operations to account for effects of writes to media, e.g., adjacent track interference (ATI). Read operations are analyzed to derive damage information usable to update one or more probability distributions, upon which the learning is updated or reinforced and carried forward. In one embodiments, the data storage device includes control circuitry configured to maintain a refresh monitor based on a learning system, analyze a read operation with the refresh monitor; adjust the refresh monitor by updating the one or more probability distributions based on the analyzed read operation; and execute a refresh operation to refresh data based on the adjusted refresh monitor.

Abstract: A data storage device is disclosed comprising a non-volatile storage medium (NVSM) having a plurality of data sectors and a plurality of reserve sectors. A map-out value is generated for each of a first plurality of the data sectors based on a read latency of each of the first plurality of data sectors, and when the map-out value of a first data sector in the first plurality of data sectors exceeds a threshold, a first logical block address (LBA) is mapped from the first data sector to a first reserve sector. When the map-out value of a second data sector in the first plurality of data sectors exceeds the map-out value of the first data sector, the first LBA is mapped from the first reserve sector back to the first data sector, and a second LBA is mapped from the second data sector to the first reserve sector.

Abstract: A Data Storage Device (DSD) includes a memory for storing data, and a controller configured to execute firmware or code to perform a task. While performing the task, the controller is further configured to assign unique identifiers to respective firmware or code portions that are executed to perform the task, and create a list or data structure including the unique identifier assigned to the firmware or code portion that created the task. A unique identifier is added to the list or data structure for each firmware or code portion executed for the task. The list or data structure indicates the order in which the firmware or code portions are executed.

Abstract: A dynamic scalable error correction coding (ECC) scheme for a data storage system involves a system controller predicting a type and/or amount of ECC needed to reconstruct data to be stored on a particular data storage device(s) based on operational data integrity information accessed from the array of data storage devices. Thus, redundancy does not need to be allocated unless required. The devices may be logically grouped into subsets according to common characteristics, whereby the prediction made for a device in a subset may be based on the data integrity information from that subset, as well as from other relevant subsets.

Abstract: Disclosed herein are magnetic storage media with embedded disconnected circuits, and magnetic storage systems comprising such media. A magnetic storage media comprises a recording layer comprising a storage location, and an embedded disconnected circuit (EDC) configured to assist in at least one of writing to or reading from the storage location in response to a wireless activation signal. A magnetic storage system comprises a signal generator configured to generate a wireless activation signal, a magnetic storage media with a plurality of storage locations, and a write transducer and/or a read receiver. The magnetic storage media has at least one EDC configured to assist in writing to and/or reading from at least one of the plurality of storage locations in response to the wireless activation signal.

Abstract: Disclosed herein are magnetic storage media with embedded disconnected circuits, and magnetic storage systems comprising such media. A magnetic storage media comprises a recording layer comprising a storage location, and an embedded disconnected circuit (EDC) configured to assist in at least one of writing to or reading from the storage location in response to a wireless activation signal. A magnetic storage system comprises a signal generator configured to generate a wireless activation signal, a magnetic storage media with a plurality of storage locations, and a write transducer and/or a read receiver. The magnetic storage media has at least one EDC configured to assist in writing to and/or reading from at least one of the plurality of storage locations in response to the wireless activation signal.

Abstract: Disclosed herein are methods of using embedded disconnected circuits (EDC) in magnetic storage media to assist in reading data from and writing data to the magnetic storage media. A wireless activation signal is used to activate an EDC in a magnetic storage media. Once activated, the EDC may assist to record data in and/or read data from one or more memory locations of the magnetic storage media.

Abstract: Disclosed herein are magnetic storage media with embedded disconnected circuits, and magnetic storage systems comprising such media. A magnetic storage media comprises a recording layer comprising a storage location, and an embedded disconnected circuit (EDC) configured to assist in at least one of writing to or reading from the storage location in response to a wireless activation signal. A magnetic storage system comprises a signal generator configured to generate a wireless activation signal, a magnetic storage media with a plurality of storage locations, and a write transducer and/or a read receiver. The magnetic storage media has at least one EDC configured to assist in writing to and/or reading from at least one of the plurality of storage locations in response to the wireless activation signal.