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.

Systems and method for providing tier selection for data based on a weighted flash fragmentation factor. A weighted flash fragmentation factor is determined indicating a severity of fragmentation in a non-volatile storage based on a logical block address range in a logical-to-physical mapping table for data from a host device to be stored in the tiered data storage system. The factor is shared with the host device to determine a tier selection. The data is stored according to the tier selection based on the factor.

Techniques are provided for hosting a key value store. A persistent storage backend is used to centrally host a key value store as disaggregated storage shared with a plurality of clients over a network fabric. A network storage appliance is connected to the plurality of clients over the network fabric, and is configured with a key value store interface. The key value store interface is configured to receive a key value command from a client. The key value store interface parses the key value command to identify a translation layer binding for a key value store targeted by the key value command. The key value store interface translates the key value command into a key value operation using the translation layer binding, and executes the key value operation upon the key value store.

There is provided a method for managing a solid state storage system with hybrid storage technologies. The method includes monitoring one or more storage request streams to identify operating mode characteristics therein from among a set of possible operating mode characteristics. The set of possible operating mode characteristics correspond to a set of available operating modes of the hybrid storage technologies. The method further includes identifying a current operating mode from among the set of available operating modes responsive to the identified operating mode characteristics. The method also includes predicting a likely future operating mode responsive to variations in workload requirements to generate at least one future operating mode prediction. The method additionally includes controlling at least one of data placement, wear leveling, and garbage collection, responsive to the at least one future operating mode prediction.

An apparatus comprises at least one processing device. The at least one processing device is configured, for each of a plurality of logical storage devices of a storage system, to determine in a multi-path layer of a layered software stack of a host device a performance level for that logical storage device, to communicate the performance levels for respective ones of the logical storage devices from the multi-path layer of the layered software stack of the host device to at least one additional layer of the software stack above the multi-path layer, and to select particular ones of the logical storage devices for assignment to particular storage roles in the additional layer based at least in part on the communicated performance levels. The additional layer in some embodiments comprises an application layer configured to automatically select a particular one of the logical storage devices for a particular storage role.

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.

A storage system performs storage tiering including a first storage device and a second storage device. The first storage device that stores data, the second storage device that stores data that is stored in the first storage device and elapses for a predetermined period of time. A storage control device that stores data in time series in the second storage device, reads the time-series data at a predetermined timing, and reorganizes the read data for each key to store the reorganized data in the second storage device and read the reorganized data from the second storage device when the data is read by the key.

A method for reverse range lookup in an ordered data structure of keys, wherein each key comprises a logical block address (LBA) and a snapshot identifier (ID) of one of one or more snapshots in a snapshot hierarchy, is provided. The keys in the ordered data structure are in an order from smallest to largest LBA, wherein in the order, keys having a same LBA are ordered from smallest to largest snapshot ID. The method includes determining a range of LBAs and traversing the ordered data structure in reverse order until a key is found that: has an LBA and a snapshot ID that is less than or equal to the last LBA and the largest snapshot ID, respectively. The method further includes adding an extent corresponding to the located key to an extent result list if the snapshot ID of the located key is not within a deny list.

A first backend housekeeping operation of a backend storage system is detected by a storage virtualization system. The first backend housekeeping operation is related to a first backend storage portion of the backend storage system. The storage virtualization system transfers data to the backend storage system for storage and retrieval. The storage virtualization system issues commands to the backend storage system. A first virtualized operation related to a first virtualized storage portion of the storage virtualization system is identified. A storage overhead condition is determined based on the first backend storage portion and based on the first virtualized operation. A storage corrective action is performed based on the storage overhead condition. The storage corrective action prevents the potential performance of one or more additional backend housekeeping operations.