Abstract: The selection of an optimal restore instance type based on a customer's speed/cost tradeoff resolution is disclosed. Aspects of the anticipated completion time to complete the recovery and completion cost to perform the recovery may be extrapolated based on a baseline or test recovery and/or actual recovery times and costs. An automated restore activity may be performed on a baseline test VM of a predefined size using different restore instance types. An optimal restore instance type is used to form worker VMs that perform the recovery operations.

Abstract: A memory controller may control a memory device including a first storage area and a second storage area. The memory controller may include: a memory operation controller and a block information manager. The memory operation controller may control the memory device to perform a block merge operation of programming data stored in a victim block among normal blocks of the first storage area to a target block among the normal blocks, and perform a data migration operation of copying data stored in blocks of the first storage area to blocks of the second storage area. The block information manager may store block map information indicating whether each of the blocks of the first storage area is a normal block or a merge block. The target block may be changed from a normal block to a merge block by the block merge operation.

Abstract: Provided herein is a memory controller and a method of operating the same. A memory controller for controlling a memory device including a plurality of memory blocks may include a workload determiner and a write controller. The workload determiner is configured to set a threshold number of free blocks for determining whether a number of free blocks, among the plurality of memory blocks, falls within a normal range based on a predicted idle period of the memory device, and to determine a workload pattern of the memory device by comparing the number of free blocks with the threshold number of free blocks. The write controller is configured to control the memory device so that one of a fast write operation and a normal write operation is selectively performed depending on the workload pattern.

Abstract: A computer-implemented method, according to one embodiment, includes: receiving tracking information which corresponds to an amount that at least one supplemental data storage drive of an automated data storage library was used during a period of time. The automated data storage library in turn includes: one or more primary data storage drives, and one or more robotic accessors physically configured to access each of the one or more primary data storage drives and the at least one supplemental storage drive. Accordingly, the tracking information is used to calculate a usage fee which corresponds to the amount that the at least one supplemental data storage drive was used during the period of time. Furthermore, the usage fee is sent to a user associated with the automated data storage library.

Abstract: Retroactive backup compliance. A data stream from a production site is stored in secondary storage associated with a data protection system. In response to an event such as a regulation change or a service level agreement change, backups are generated retroactively from the stored data stream. Backups are generated to correspond to times in the past. Backups can also be replaced, deleted, or generated ad-hoc. Further, the retroactively generated backups are generated to be consistent.

Abstract: A process for reducing amount of transmission of data to/from an external storage is performed in a computer. The process includes: storing a plurality of data sets by deduplicating a plurality in the external storage, wherein two or more data sets selected in order generated are collected in an object; determining necessity/unnecessity of defragmentation in units of object group in which two or more objects are collected in order generated; when determining to execute defragmentation, executing first defragmentation processing of acquiring all of the objects included in the object group as first objects from the external storage, combining valid data set having a number of references of 1 or more included in the first objects based on the order generated and the number of references to regenerate one or more second object, and storing the second object in place of the first objects in the external storage.

Abstract: A system and method for data storage, transfer, synchronization, and security using automated system efficacy monitoring and model training, wherein statistical analyses of test datasets are used to determine if the probability distribution of two datasets are within a pre-determined range, and responsive to that determination new encoding and decoding algorithms may be retrained in order to produce new data chunklets. The new data chunklets may then be processed and assigned new codewords which are compiled into an updated codebook which may be distributed back to encoding and decoding systems and devices.

Abstract: In general, embodiments of the invention relate to storing data and managing the stored data in linked nodes. More specifically, embodiments of the invention relate to nodes linked together in a daisy chain configuration such as, but not limited to, a single-chain configuration and a dual-chain configuration, which use data protection domain (DPD) information to determine where and/or how to store the data.

Abstract: A system and method for file type identification involving extraction of a file-print of a file, the file-print being a unique or practically-unique representation of statistical characteristics associated with the distribution of bits in the binary contents of the file, similar to a fingerprint. The file-print is then passed to a machine learning algorithm that has been trained to recognize file types from their file-prints. The machine learning algorithm returns a predicted file type and, in some cases, a probability of correctness of the prediction. The file may then be encoded using an encoding algorithm chosen based on the predicted file type.

Abstract: An apparatus and method for memory management using compartmentalization. For example, one embodiment of a processor comprises: execution circuitry to execute instructions and process data, at least one instruction to generate a system memory access request using a first linear address; and address translation circuitry to perform a first walk operation through a set of one or more address translation tables to translate the first linear address to a first physical address, the address translation circuitry to concurrently perform a second walk operation through a set of one or more linear address metadata tables to identify metadata associated with the linear address, and to use one or more portions of the metadata to validate access by the at least one instruction to the first physical address.

Abstract: A memory system includes a nonvolatile memory including a first region and a second region, and a controller configured to manage a migration operation for a plurality of memory blocks included in the first region and the second region. The controller includes a migration module configured to perform the migration operation by selecting one or more victim blocks based on a number of valid pages of each memory block included in the first region when there is no free storage space in the first region, selecting one or more destination blocks in the second region that respectively correspond to the number of victim blocks, and swapping type information of each of the one or more victim blocks in the first region for type information of a corresponding one of the one or more destination blocks in the second region.

Abstract: A system and method for encoding data using a plurality of encoding libraries. Portions of the data are encoded by different encoding libraries, depending on which library provides the greatest compaction for a given portion of the data. This methodology not only provides substantial improvements in data compaction over use of a single data compaction algorithm with the highest average compaction, but provides substantial additional security in that multiple decoding libraries must be used to decode the data. In some embodiments, each portion of data may further be encoded using different sourceblock sizes, providing further security enhancements as decoding requires multiple decoding libraries and knowledge of the sourceblock size used for each portion of the data. In some embodiments, encoding libraries may be randomly or pseudo-randomly rotated to provide additional security.

Abstract: The present disclosure includes apparatuses and methods for simultaneous in data path compute operations. An apparatus can include a memory device having an array of memory cells and sensing circuitry selectably coupled to the array. A plurality of shared I/O lines can be configured to move data from the array of memory cells to a first portion of logic stripes and a second portion of logic stripes for in data path compute operations associated with the array. The first portion of logic stripes can perform a first number of operations on a first portion of data moved from the array of memory cells to the first portion of logic stripes while the second portion of logic stripes perform a second number of operations on a second portion of data moved from the array of memory cells to the second portion of logic stripes during a first time period.

Abstract: A system and method for random-access manipulation of compacted data files, utilizing a reference codebook, a random-access engine, a data deconstruction engine, and a data deconstruction engine. The system may receive a data query pertaining to a data read or data write request, wherein the data file to be read from or written to is a compacted data file. A random-access engine may facilitate data manipulation processes by accessing a reference codebook associated with the compacted data file, a frequency table used to construct the reference codebook, and data query details. A data read request is supported by random-access search capabilities that may enable the locating and decoding of the bits corresponding to data query details. A random-access engine facilitates data write processes. The random-access engine may encode the data to be written, insert the encoded data into a compacted data file, and update the codebook as needed.

Abstract: Drive health information is collected for each one of the data storage drives in one or more RAID groups of data storage drives, and is used to calculate a faultiness level of each data storage drive in the RAID group(s). A suitable RAID level for configuration of at least one RAID group may be generated based on the faultiness levels of the data storage drives contained in the RAID group. A faultiness-balanced distribution of the data storage drives across multiple RAID groups may be generated based on the faultiness levels of individual data storage drives. The data storage drives may be automatically redistributed across the multiple RAID groups according to the faultiness-balanced distribution of the data storage drives.

Abstract: In a storage system that implements metadata paging, the page free pool is replenished in the background to reduce foreground evictions and associated latency on page-in. A two-level page eviction controller with cascaded proportional, integral, derivative (PID) controllers optimizes the size of the free page pool and optimizes the rate at which pages are freed in the background. By optimizing these two parameters the page eviction controller dynamically maximizes used pages (minimizing free pages) to increase the metadata cache hit ratio. Optimizing the parameters also reduces the chances of foreground page evictions, thereby reducing IO latency, during both steady state and burst page-in requests.

Abstract: Embodiments of the present disclosure relate to a method, a device, and a computer program product for managing a storage system. The method for managing a storage system includes: in response to migration of data from a source storage system to a target storage system, if it is determined that a target client terminal that uses the source storage system to back up data generates data to be backed up, determining whether the amount of data stored in the target storage system for the target client terminal exceeds a threshold; and if it is determined that the amount of data exceeds the threshold, storing the data to be backed up into the target storage system. According to the embodiments of the present disclosure, the data to be backed up can be stored into the target storage system before data of a source storage device is completely migrated to a target storage device.

Abstract: A memory system includes first, second, third, and fourth nonvolatile memory, a memory controller configured to modulate write data for the first and second memory into a first time slot of a data signal according to an allocation scheme, and modulate write data for the third and fourth memory into a second time slot of the data signal according to the allocation scheme, a first bridge circuit configured according to the allocation scheme to extract first write data from the first time slot, a second bridge circuit configured according to the allocation scheme to extract second write data from the first time slot, a third bridge circuit configured according to the allocation scheme to extract third write data from the second time slot, and a fourth bridge circuit configured according to the allocation scheme to extract fourth write data from the second time slot.

Abstract: A method disclosed herein includes storing a data heat map in local cache of a non-volatile memory express (NVME) controller associated with an NVME device, configuring an asynchronous event notification command in a submission queue associated with the NVME device, generating a request for data migration notification to host based on the data heat map, and communicating the data migration notification to a host using the asynchronous event notification command.

Abstract: A storage apparatus includes a plurality of storage devices, and a control unit for providing a predetermined storage area of the plurality of storage devices to the host computer as a virtual volume group including one or more virtual volumes. The control unit configures one or more data sets having one or more redundancy levels from the plurality of storage devices, provides a storage area of a storage pool including the plurality of data sets to a part of a storage area of the virtual volume, limits a combination of the storage devices configuring the data sets to be assigned to the virtual volume to a given number of combinations of two combinations or more, uniformly distributes the storage devices, and uses a given number of different combinations of the storage devices to be assigned to the virtual volume in units of the virtual volume group.