A composite layout to store one or more extents of a data object in a first storage system and one or more extents of the data object in a second, different storage system. The first storage system may be configured for the efficient storage of small chunks of data such as, e.g., chunks of data small than the addressable block size of the storage devices used by the storage systems.

In one approach, filesets to be backed up are divided into partitions and snapshots are pulled for each partition. In one architecture, a data management and storage (DMS) cluster includes a plurality of peer DMS nodes and a distributed data store implemented across the peer DMS nodes. One of the peer DMS nodes receives fileset metadata for the fileset and defines a plurality of partitions for the fileset based on the fileset metadata. The peer DMS nodes operate autonomously to execute jobs to pull snapshots for each of the partitions and to store the snapshots of the partitions in the distributed data store.

As the volume of data under management expands rapidly, so do the costs associated with storing and that data on secondary storage devices. The illustrative approach provides an improvement to the information management system by delaying certain tasks that meet a set of criteria until a specified threshold is met. The system receives a request to be performed on a set of data stored on secondary devices. Power management module determines whether the task satisfies a set of criteria for delayed execution, queues the task, and when a specified threshold of the queued tasks is met powers up the necessary components to execute the tasks.

Example object storage systems, bookkeeping engines, and methods provide quota usage monitoring for control entities, such as accounts, users, and buckets. An object data store is configured to enable control entities to access data objects associated with each control entity. Data objects are mapped to the control entities and the data objects are processed to identify object usage values corresponding to each combination of data object and control entity. Total usage values are calculated for each control entity and used to determine a data object access response for a target data object and associated control entities.

Methods, systems, and devices for the dynamic selection of cores for processing responses are described. A memory sub-system can receive, from a host system, a read command to retrieve data. The memory sub-system can include a first core and a second core. The first core can process the read command based on receiving the read command. The first core can identify the second core for processing a read response associated with the read command. The first core can issue an internal command to retrieve the data from a memory device of the memory sub-system. The internal command can include an indication of the second core selected to process the read response.

Systems and processes for efficient accessing, storing and transmitting of fixed data elements and dynamic data elements, each having its own native form. The data elements are organized according to a schema, with (a) all fixed data elements stored in their native forms in a fixed memory allocation, and (b) each dynamic data element stored in memory in its own native form, in its own data allocation. With this memory structure, computational overhead of converting data elements from their native forms to JSON, XML or other markup language is avoided, making accessing data (getting), updating data (setting), converting data to a serial stream for transmission or other manipulation (serializing), deserializing, and other manipulations of the data elements much more CPU efficient and requiring less bandwidth.

Various embodiments set forth techniques for free space management in a block store. The techniques include receiving a request to allocate one or more blocks in a block store, accessing a sparse hierarchical data structure to identify an allocator page identifying a region of a backing store having a greatest number of free blocks, and allocating the one or more blocks.

The present application relates to a semiconductor memory training method and related devices, belonging to the technical field of semiconductors. The method comprises: obtaining a stored historical training result of a semiconductor memory, the historical training result comprising a historical expected delay value and a historical expected voltage; setting a delay threshold and a current training voltage range, the delay threshold being less than or equal to the historical expected delay value, the current training voltage range comprising the historical expected voltage; obtaining a current minimum delay value for the semiconductor memory under the historical expected voltage; and using the stored historical training result as a current training result of the semiconductor memory, if the current minimum delay value for the semiconductor memory under the historical expected voltage is no less than the delay threshold.

Systems, apparatuses, and methods related to extended memory operations are described. Extended memory operations can include operations specified by a single address and operand and may be performed by a computing device that includes a processing unit and a memory resource. The computing device can perform extended memory operations on data streamed through the computing tile without receipt of intervening commands. In an example, a computing device is configured to receive a command to perform an operation that comprises performing an operation on a data with the processing unit of the computing device and determine that an operand corresponding to the operation is stored in the memory resource. The computing device can further perform the operation using the operand stored in the memory resource.

A method for execution by a dispersed storage network (DSN) managing unit includes receiving access information from a plurality of distributed storage and task (DST) processing units via a network. Cache memory utilization data is generated based on the access information. Configuration instructions are generated for transmission via the network to the plurality of DST processing units based on the cache memory utilization data.