An information handling system may include at least one processor; and a non-transitory memory coupled to the at least one processor. The information handling system may be configured to: receive health information for a plurality of node information handling systems; determine, based on the received health information, a score for each of the plurality of node information handling systems; determine an upgrade ordering for the plurality of node information handling systems based on the respective scores for the plurality of node information handling systems; and cause the node information handling systems to perform an upgrade procedure according to the upgrade ordering.

An illustrative embodiment disclosed herein is an apparatus including a processor and a memory. In some embodiments, the memory includes programmed instructions that, when executed by the processor, cause the apparatus to store a first object and a second object in a first region based on the first object and the second object having a first policy. In some embodiments, the memory includes programmed instructions that, when executed by the processor, cause the apparatus to store a third object in a second region based on the third object having a second policy. In some embodiments, a virtual disk includes the first region and the second region.

Apparatus and methods are disclosed, including using a memory controller to track a maximum logical saturation over the lifespan of the memory device, where logical saturation is the percentage of capacity of the memory device written with data. A portion of a pool of memory cells of the memory device is reallocated from single level cell (SLC) static cache to SLC dynamic cache storage based at least in part on a value of the maximum logical saturation, the reallocating including writing at least one electrical state to a register, in some examples.

A system and method improve caching efficiency in a data storage system by performing machine learning processes on metadata relating to extents of data blocks, rather than individual blocks themselves. Thus, once the storage devices are divided into extents, various metadata regarding access to the blocks within each extent are aggregated, and per-extent features are extracted. These features are used to train a data regression model that is subsequently used to infer a most likely “hotness” value for each extent at a future time. These predicted values, which may be further classified as e.g. “hot”, “warm”, and “cold” using thresholds, are used to implement the cache replacement policy. Embodiments scale to large and multi-layered caches, and may avoid common caching problems like thrashing, by adjusting the extent size. Policy goal functions may be optimized by dynamically adjusting the classification thresholds.

A method for reordering data for storage includes detecting a data access pattern, associated with an application, for accessing a data, generating a remapping function based on a data access pattern information, the remapping function including operations to determine a reordering of the data based on address information for the data, receiving the data at a storage device, the data being ordered according to a first layout sequence, reordering the data, by the storage device, based on the remapping function, and storing the data, at the storage device, according to a second layout sequence corresponding to the data access pattern, the second layout sequence being different than the first layout sequence.

Example tiered storage systems, storage devices, and methods provide intelligent data access across tiered storage systems. An example system can comprise one or more computing devices, a file system, an object storage system comprising an object storage, and a data tiering application. The data tiering application is executable by one or more computing devices to perform operations comprising determining, using machine learning logic, a cluster of associated files stored in the file system; and archiving the cluster of associated files from the file system to the object storage coupled for electronic communication to the file system via a computer network.

In a case of exchanging a migration source storage controller and a migration destination storage controller sharing one storage medium during replacement of storage devices, when hardware configurations or data management forms of the storage controllers are different, data in the storage medium cannot be shared even when data management information can be copied. Accordingly, a storage system, having a storage control unit and a storage drive provided with a storage medium, includes data management information for accessing data in the storage drive. A first storage control unit copies data management information about the data in the storage drive to a second storage control unit. When a write request is received from a host after copying of the data management information begins, each of the first storage and second storage control units stores write data related to the write request in a separate storage area of the storage drive.

The present application provides a data storage method, a data storage apparatus and a storage system, wherein the method includes: determining a data type of to-be-stored data when the to-be-stored data is obtained (S410); determining a target storage area with a data type same as that of the to-be-stored data based on the data type of data stored in each storage area in the SMR disk (S420); determining in the target storage area a target storage block into which the to-be-stored data is to be written (S430); generating the main index information and backup index information of the to-be-stored data based on the identifier of the target storage block (S440); generating the database index information of the to-be-stored data based on the to-be-stored data and the identifier of the target storage block (S450); and writing the to-be-stored data and the backup index information of the to-be-stored data into the target storage block, writing the main index information of the to-be-stored data into the CMR area or the non-SMR disk, and writing the database index information of the to-be-stored data into the non-SMR

To selectively use cost, performance, reliability, and security characteristics of storage devices in an appropriate manner. A storage system has a plurality of volumes of which reliability and security levels differ from one another, and a controller of the storage system determines a reliability requirement and a security requirement of a file based on at least one of a type and a content of the file, determines a volume to store the file based on the determination result, and stores the file in the determined volume.

A storage system is coupled to a cloud system that provides cloud volumes belonging to any of a plurality of tiers with different access performances. The cloud system changes a tier to which an externally-provided volume belongs based on a state of volume utilization in which the cloud volumes are utilized. A storage controller of the storage system provides a host computer with a volume created by allocating a page to an external volume that corresponds to the cloud volumes. In addition, the storage controller adjusts a state of volume utilization to control a tier to which the cloud volumes belong.