A method includes determining an encoded data slice of a first subset of encoded data slices associated with a set of encoded data slices requires rebuilding, where the first subset of encoded data slices is stored in a set of storage units and includes at least a decode threshold number of encoded data slices. The method further includes identifying a second encoded data slice of a second subset of encoded data slices of the set of encoded data slices, where the second subset of encoded data slices is not currently stored in the set of storage units. The method further includes generating the second encoded data slice from the first subset of encoded data slices and sending the second encoded data slice to the set of storage units, where when stored, the second encoded data slice no longer included in the second subset of encoded data slices.

Virtual storage arrays consolidate branch data storage at data centers connected via wide area networks. Virtual storage arrays appear to storage clients as local data storage; however, virtual storage arrays actually store data at the data center. The virtual storage arrays overcomes bandwidth and latency limitations of the wide area network by predicting and prefetching storage blocks, which are then cached at the branch location. Virtual storage arrays leverage an understanding of the semantics and structure of high-level data structures associated with storage blocks to predict which storage blocks are likely to be requested by a storage client in the near future. Virtual storage arrays determine the association between requested storage blocks and corresponding high-level data structure entities to predict additional high-level data structure entities that are likely to be accessed. From this, the virtual storage array identifies the additional storage blocks for prefetching.

A method includes receiving a workload in a multi-tier enterprise storage system. The workload including a database. A processor determines if historical query logs present for the workload. Upon a determination that historical query logs are present for the workload: the processor analyzes a query log of historical queries for the database; an inter- and intra-query weighted column relationship graph is created based on the analyzing; and weights are assigned to the weighted column relationship graph based on an optimization process that maximizes performance for the historical queries in a training window.

A storage system includes a host including a processor and a memory unit, and a storage device including a controller and a non-volatile memory unit. The processor is configured to output a write command, write data, and size information of the write data, to the storage device, the write command that is output not including a write address. The controller is configured to determine a physical write location of the non-volatile memory unit in which the write data are to be written, based on the write command and the size information, write the write data in the physical write location of the non-volatile memory unit, and output the physical write location to the host. The processor is further configured to generate, in the memory unit, mapping information between an identifier of the write data and the physical write location.

A data query method and apparatus are disclosed. The method includes: determining a target directory block including m directory entries and m file names, where the m directory entries one-to-one correspond to the m file names, and the m directory entries and the m file names are sequentially arranged according to a preset rule; determining a current first set and a current second set based on a binary search algorithm and the target directory block; determining a first common prefix between a to-be-accessed file name and a file name in the current second set; comparing the to-be-accessed file name with a third file name character by character from a first character after the first common prefix; and if the to-be-accessed file name is the same as the third file name, obtaining data of a to-be-accessed file based on a directory entry corresponding to the third file name.

Techniques perform file storage. Such techniques involve determining a candidate allocation unit (AU) size for storing data based on a statistic of an AU size matching with a write request during a statistic period, and storing a new file using the determined candidate AU size to store the new file. Accordingly, storage space is saved and reading and writing performance are improved.

A recording apparatus that is capable of preventing degradation of a writing speed of management information under recording without increasing the recording preparation time when a plurality of files are recorded simultaneously. The recording apparatus includes a memory and a processor that function as a recording unit that records a file in a recording medium, and a controller that controls so as to record a directory entry of a file in a designated sector in the recording medium. The recording medium consists of blocks each of which includes a plurality of pages, allows to write data in a page unit, allows to erase data in a block unit, and allows to access a page corresponding to a sector designated by a sector number. When a plurality of files will be recorded, the controller controls so that directory entries of the plurality of files will be recorded in a same sector.

Techniques for efficiently storing client data blocks on a distributed-computing system are provided. The system includes a fast performance tier and a large capacity tier. The capacity tier stores the client data blocks in erasure encoded data stripes. The performance tier stores logical map data including an address map indicating a correspondence between logical addresses associated with a first layer of the system and physical addresses associated with a second layer. A method includes receiving a request to include additional client data blocks in the client blocks. The request indicates logical addresses for additional blocks. Corresponding physical addresses for additional block are determined. Each additional block is stored at the physical address. Additional logical map data is stored in the performance tier. Storing the additional logical map data includes updating the address map to indicate the correspondence between the logical addresses and the physical addresses for the additional blocks.

Apparatuses and methods can be related to reducing memory device overhead using artificial intelligence (AI). Reducing overhead can include receiving file metadata of a data file and device metadata of the memory device. Based on the file metadata and the device metadata, a number of indicators can be selected to provide an indication of an expected use of the data file in the memory device. The number of indicators can be provided to the memory device. The data file can be stored with different data files having matching indicators corresponding thereto.

A personal cloud device includes a housing, one or more processors disposed within the housing, a local area network interface to communicatively couple the processors to a local area network, at least one of: (i) internal persistent storage disposed within the housing, or (ii) an interface to removably attach the personal cloud device to a persistent storage device, to store a library of digital media files including photo and/or video content, and a memory disposed within the housing. The memory stores identifiers of users authorized to operate the personal cloud device, and instructions that cause the personal cloud device to detect a trigger condition related to a location of a user device associated with one of the authorized users, and, in response to detecting the trigger condition, automatically retrieve digital media files from the user device for storage in the internal persistent storage or the persistent storage device.