A technique for correcting errors in a data storage system operates while the data storage system remains online. The technique includes identifying an object for validation, scanning a plurality of pointers, and counting a number of pointers that point to the object. The technique further includes repairing a discrepancy between the count of pointers and a reference count stored in connection with the object.

A data storage management layer comprises computing device(s), operatively connected to storage resources, which comprise data storage units and control units. The data storage management layer is operatively connected to the storage resources. They are operatively connected to host computers. A sub-set of the storage resources are assigned to each host, in order to provide storage services according to performance requirements predefined for the host, thereby generating Virtual Private Arrays (VPA). The computing device(s) are configured to perform a method of managing the data storage system comprising: (a) implement storage management strategies, comprising rules. The rules comprise conditions and actions. The actions are capable of improving VPA performance in a dynamic manner; (b) repetitively performing: (i) monitor VPA performance for detection of compliance of VPA with the condition(s); and (ii) responsive to detection of compliance of VPA with the condition(s), performing the action(s).

A method for execution by a storage network begins by issuing a decode threshold number of read requests for a set of encoded data slices to a plurality of storage units of a set of storage units and continues by determining whether less than a decode threshold number of read requests has been received in a time window. The method continues by identifying one or more encoded data slices encoded data slices associated with read requests of the decode threshold number of read requests that have not been received and for an encoded data slice of the one or more encoded data slices, issuing a priority read request to a storage unit storing a copy of the encoded data slice. The method then continues by receiving a response from the storage unit storing the copy of the encoded data, where the storage unit storing the copy of the encoded data slice is adapted to delay one or more maintenance tasks in response to the priority read request.

A memory sub-system configured to read soft bit data by adjusting the read voltage applied to read hard bit data from memory cells. For example, in response to a read command identifying a group of memory cells, a memory device is to: read the group of memory cells using a first voltage to generate hard bit data indicating statuses of the memory cells subjected to the first voltage; change (e.g., through boosted modulation) the first voltage, currently being applied to the group of memory cells, to a second voltage and then to a third voltage; reading the group of memory cells at the second voltage and at the third voltage to generate soft bit data (e.g., via an exclusive or (XOR) of the results of reading the group of memory cells at the second voltage and at the third voltage).

Devices and techniques for managing flash memory are disclosed herein. A memory controller may receive a first program request comprising first host data to be written to the flash memory. The flash memory may comprise a number of storage units with each storage unit comprising a number of storage sub-units. If the first host data is less than a remainder threshold, the memory controller may generate a first program data unit comprising the first host data and first log data describing the flash memory. The memory controller may program the program data unit to the first storage unit of the flash memory, where the first log data is written to a first storage sub-unit of the number of storage sub-unit. The memory controller may also store an indication that the first storage sub-unit is invalid.

Staging data on a storage element integrating fast durable storage and bulk durable storage, including: receiving, at a storage element integrating fast durable storage and bulk durable storage, a data storage operation from a host computer; storing data corresponding to the data storage operation within fast durable storage in accordance with a first data resiliency technique; and responsive to detecting a condition for transferring data between fast durable storage and bulk durable storage, transferring the data from fast durable storage to bulk durable storage in accordance with a second data resiliency technique.

Techniques for estimating raw bit error rate of data stored in a group of memory cells are described. Encoded data is read from a group of memory cells. A first population value is obtained based on a first number of memory cells in the group of memory cells having a read voltage within a first range of read voltages, each read voltage representing one or more bits of the encoded data. An estimated raw bit error rate of the data is determined to satisfy a first threshold. The determination is made using a first trained machine learning model and based in part on the first population value. A first media management operation is initiated in response to the determination that the estimated raw bit error rate satisfies the first threshold.

A data processor includes provides memory commands to a memory channel according to predetermined criteria. The data processor includes a first error code generation circuit, a second error code generation circuit, and a queue. The first error code generation circuit generates a first type of error code in response to data of a write request. The second error code generation circuit generates a second type of error code for the write request, the second type of error code different from the first type of error code. The queue is coupled to the first error code generation circuit and to the second error code generation circuit, for provides write commands to an interface, the write commands including the data, the first type of error code, and the second type of error code.

Storage management is performed. For example, a computing device may determine that a fault belongs to one of a plurality of predefined fault categories based on description information of the fault of a storage system. Then, the computing device may determine at least one fault cause associated with the fault category at a first level of a hierarchical structure of predetermined fault causes. Further, the computing device may determine a first fault cause that causes the fault among the at least one fault cause. After that, the computing device may determine a target fault cause at the deepest level that causes the fault based on the first fault cause. As a result, the root cause of a fault of a storage system may be accurately and efficiently determined, thereby providing the possibility of fundamentally eliminating the fault.

Techniques for storage management involve: obtaining information indicating an error of a storage device of a data storage system; if the number of occurrences of the error within a predetermined time period exceeds a predetermined threshold, stopping obtaining the information indicating the error; and generating an event indicating whether the number of occurrences of the error within the predetermined time period exceeds the predetermined threshold for further diagnosis of the error. As a result, errors from the storage device can be automatically managed, which helps to improve the data storage system's capacity to handle different types of errors of the storage device.