An illustrative computing system may include a master node that includes a prioritization module. The master node may be in communication with each of a plurality of containerized application nodes. The prioritization module may be configured to determine node prioritization information indicating a relative prioritization of the containerized application nodes for instantiating a designated containerized application, wherein the determining node prioritization information includes assigning a priority score to a candidate containerized application node, wherein higher priority is given based on a number of volumes stored on the candidate containerized application node that is designated for access by the designated containerized application.

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.

Methods, computer program products, computer systems, and the like for efficient metadata management are disclosed, which can include receiving a subunit of storage, storing a first metadata portion of the subunit of storage in a first unit of storage, and storing a second metadata portion of the subunit of storage in a second unit of storage.

The various embodiments disclose an electronic device including: a storage including a non-volatile memory having a buffer space and a storage space, a storage device controller, and a storage interface, and a processor. According to various embodiments, the processor may be configured to perform control to determine whether the storage supports a high speed data storage mode using a buffer space of a non-volatile memory of the storage, activate a function of writing data buffered in the buffer space of the non-volatile memory into a storage space of the non-volatile memory based on the storage interface operating in a first state based on the storage supporting the high speed data storage mode, and transition the storage interface of the storage to the first state based on no request to the storage being generated during a predetermined time period based on the storage interface operating in a second state.

A plurality of different views of data associated with a storage domain stored on a deduplicated storage are traversed to determine data chunks belonging to each view of the plurality of different views of data associated with the storage domain. A request for a metric associated with disk space utilization of a group of one or more selected views of data included in the plurality of different views of data associated with the storage domain that are stored on the deduplicated storage is received. Data chunks belonging to the one or more selected views of data associated with the storage domain of the group but not other views of the plurality of different views of data associated with the storage domain that are stored on the deduplicated storage are identified. An incremental disk space utilization of the group is determined, including by determining a total size of the identified data chunks. The metric associated with disk space utilization is provided based on the determined incremental disk space utilization of the group.

Intelligent management of stub files in hierarchical storage is provided by: in response to identifying a file to migrate from a file system to offline storage, providing metadata for the file to a machine learning engine; receiving a stub profile for the file from the machine learning engine that indicates an offset from a beginning of the file and a length from the offset for previewing the file; and migrating the portion of the file from the file system to an offline storage based on the stub profile. In some embodiments this further comprises: monitoring file system operations; in response to detecting a read operation of the portion of the file: determining a file type; providing file data to the machine learning engine; and performing a supervised learning operation based on the file type and the file data to update the machine learning engine.

A host command is received to configure a system to have a configuration designating a first interface standard at a first port for exposing a storage element and a second interface standard at a second port for exposing a persistent memory region (PMR). The storage element is implemented on a first memory device of the system and the PMR is implemented on a second memory device of the system. The second interface standard implements one or more alternate protocols supported by the first interface standard. The system is configured in accordance with the configuration.

The present disclosure describes a method to manage an enterprise data storage system, the method including: dividing storage disks of the enterprise data storage system into multiple virtual storage subsystems, wherein each virtual storage subsystem hosts a non-overlapping subset of the storage disks, and wherein each virtual storage subsystem includes a level-2 cache memory dedicated thereto; establishing a communication path between the level-2 cache memory dedicated to each virtual storage subsystem and a main cache of the enterprise-level data storage system; and maintaining a copy of transaction data from the non-overlapping subset of the storage disks hosted by each virtual storage subsystem in the level-2 cache memory dedicated thereto such that when the main cache searches for the copy of the transaction data, the main cache fetches, over the communication path, the copy of the transaction data from the level-2 cache memory of the virtual storage subsystem.

A system and method for updating a configuration of a host system so that the memory sub-system of the host system emulates performance characteristics of a target memory sub-system. An example system determining a configuration of the host system, the host system comprising a memory sub-system; receiving, by a processing device, a request to emulate a characteristic of a target memory sub-system; analyzing a plurality of candidate configurations for the host system, wherein the plurality of candidate configurations comprises a candidate configuration that generates a load on the memory sub-system to decrease characteristics of the memory sub-system; and updating the configuration of the host system based on the plurality of candidate configurations, wherein the updated configuration changes the memory sub-system to emulate the characteristic of the target memory sub-system.

An improved information management system is described herein in which the information management system can evaluate the deduplication performance of secondary copy operations and dynamically adjust the manner in which secondary copy data is created to minimize the negative effects of performing deduplication. Furthermore, the improved information management system can improve deduplication performance by applying different storage policies to different types of applications running on a client computing device. Moreover, the improved information management system can automatically detect the region of a client computing device and apply an appropriate information management policy to the client computing device to avoid inconsistencies or other errors resulting from administrator control.