Certain embodiments described herein relate to an improved block-level replication system. One or more components in an information management system may receive a request to perform a block-level replication between a source storage device and a destination storage device, and depending on the specific replication mode requested, (i) store block-level changes directly to the destination storage device or (ii) first to a recovery point store and then later to the destination storage device.

A respective write cycle count for each of a plurality of data units of a memory device is obtained. Based on the respective write cycle count, whether a data unit of the plurality of data units satisfies a media management criterion is determined. Responsive to determining that the respective write cycle count satisfies the media management criterion, a media management operation every first constant cycle count on the data unit is performed. Responsive to determining that the respective write cycle count does not satisfy the media management criterion, a media management operation every second constant cycle count on the data unit is performed. The second constant cycle count is less than the first constant count.

A system includes a processing device, operatively coupled with a memory device, to perform operations including receiving a media access operation command designating a first memory location, and determining whether a first media access operation command designating the first memory location and a second media access operation designating a second memory location are synchronized, after determining that the first and second media access operation commands are not synchronized, determining that the media access operation command is an error flow recovery (ERF) read command, in response to determining that the media access operation command is an ERF read command, determining whether a head command of the first queue is blocked from execution, and in response to determining that the head command is unblocked from execution, servicing the ERF read command from a media buffer maintaining previously written ERF data.

A storage network processing system includes a processor, a network interface and memory that stores operational instructions. The operation instructions enable the processor to receive a data object for storage and dispersed error encode the data object in accordance with dispersed error encoding parameters to produce a plurality of encoded data slices. The operation instructions further enable the processor to generate to determine a plurality of site slice sets from the plurality of encoded data slices, where each site slice set of the plurality of site slice sets includes a number of unique encoded data slices of the plurality of encoded data slices that is greater than or equal to a site write threshold value. The operation instructions further enable the processor to a designate one of a plurality of storage sites for each of the plurality of site slice sets and transmit each of the plurality of site slice sets to a corresponding designated one of the plurality of storage sites via the network.

A cloud-based system for securely storing data, the system having a processor which obtains a source data file; splits it into at least three fragments; and uses an encryption key associated with the fragments to encrypt the fragments and distributes the encrypted fragments among at least three cloud storage providers, creates a pointer file containing information for retrieving the encrypted fragments. When a system user requests access to the data, the system uses the information stored in the pointer file to retrieve the stored encrypted fragments from the plurality of clouds; decrypts the fragments and reconstructs the data, and provides data access to the system user.

Certain embodiments described herein relate to an improved disk usage growth prediction system. In some embodiments, one or more components in an information management system can determine usage status data of a given storage device, perform a validation check on the usage status data using multiple prediction models, compare validation results of the multiple prediction models to identify the best performing prediction model, generate a disk usage growth prediction using the identified prediction model, and adjust the available space of the storage device according to the disk usage growth prediction.

Systems, methods and apparatus of intelligent wear-leveling with reduced write-amplification for data storage devices configured on autonomous vehicles. For example, a data storage device of a vehicle includes: storage media components; a controller configured to store data into and retrieve data from the storage media components according to commands received in the data storage device; an address map configured to map between: logical addresses specified in the commands received in the data storage device, and physical addresses of memory cells in the storage media components; and an artificial neural network configured to receive, as input and as a function of time, operating parameters indicative a data access pattern, and generate, based on the input, a prediction to determine an optimized operation for wear leveling among memory cells in the data storage device. The controller is configured to perform the optimized operation for wear leveling based on the prediction.

An object is to reduce the number of writes of information managed by a controller to a non-volatile memory. A controller according to one aspect of the present invention includes: a first interface unit connected to a non-volatile memory including a plurality of blocks of memory cells that enter into both a first state and a second state and in which a plurality of addresses is allocated to the plurality of blocks; an information holding unit that holds first information; and a control unit that reads first data from a first block of the non-volatile memory via the first interface unit, specifies the memory cell in the second state among the memory cells in the first block and writes second data for causing the specified memory cell in the second state to transition to the first state, and selects one of the first information and the first data on the basis of the address of the first block and writes the selected first information or first data to the first block.

A method, a computing device, and a non-transitory machine-readable medium for managing modes of operation for volumes in a node. A first portion of a plurality of volumes in a node is selected to operate in an active mode. A second portion of the plurality of volumes in the node is selected to operate in a passive mode. The second portion of the volumes that operates in the passive mode consumes fewer resources than the first portion of the volumes that operates in the active mode. The first portion of the plurality of volumes and the second portion of the plurality of volumes are adjusted over time based on activity of each volume of the plurality of volumes.

Methods are provided for creating objects in a way that permits an API client to explicitly participate in memory management for an object created using the API. Methods for managing data object memory include requesting memory requirements for an object using an API and expressly allocating a memory location for the object based on the memory requirements. Methods are also provided for cloning objects such that a state of the object remains unchanged from the original object to the cloned object or can be explicitly specified.