Abstract: An apparatus includes a body with an opening through the body, the opening corresponding to dimensions of a cable to be connected to a circuit board and a flat surface to abut the circuit board. The apparatus further includes one or more attachment mechanisms to attach the body to the circuit board.

Abstract: Converting data formats in a storage system: converting first data in a first format to second data in a second format, wherein second data in the second format includes a reference to the first data, wherein the first data and the second data are associated with a dataset, including updating the second data to include: a reference to first data associated with a portion of the dataset that precedes a data-converted portion of the dataset; second data associated with the data-converted portion of the dataset, wherein the second data associated with the data-converted portion of the dataset is in the second data format; and a reference to first data associated with a portion of the dataset that follows the data-converted portion of the dataset; and replacing first data associated with the data-converted portion of the dataset with a reference to the second data associated with the data-converted portion of the dataset.

Abstract: A first data block on a storage device including a data structure of deallocated data blocks on the storage device and a corresponding program erase count value for each of the deallocated data blocks is identified. A determination as to whether a second data block from the data structure of deallocated data blocks remains deallocated after being added to the data structure of deallocated data blocks based on the program erase count value is made. The data is stored at the second data block upon determining that the second data block remains deallocated after being added to the data structure of deallocated data blocks.

Abstract: A method for execution by a storage network begins by receiving data for storage by the storage network and continues by determining data preparation tasks for the data. The method continues by indexing the data in accordance with the data preparation tasks to generate a data index and processing the data in accordance with the data index to produce indexed data. The method then continues by determining distribution criteria for the data based on the data index and distributing the data and the data index to a set of distributed storage units in accordance with the distribution criteria, Finally, the method establishes criteria for analyzing found data of the data in the storage network.

Abstract: Methods and apparatus for proxying data access requests in a storage network are disclosed. In various embodiments, a computing device associated with a first storage location of the storage network performs a method that includes receiving a portion of data that is in the process of being replicated from a second storage location of the storage network. The computing device facilitates storage of the portion of data in the first storage location of the storage network. In response to receiving a read request for the portion of data during the data replication process, the computing device determines whether the portion of data is available from memory of the first storage location. In response to determining that the portion of data is available from memory of the first storage location, the computing device issues a read response that includes the portion of data.

Abstract: Methods and apparatus for selection of memory devices in a distributed storage network. In an example, a computing device receives a data object for storage and selects a set of storage nodes of a plurality of sets of storage nodes for storing the data object. Selection of the set of storage nodes includes determining storage attributes associated with each set of storage nodes of the plurality of sets of storage nodes. Selection of the set of storage nodes additionally includes determining a storage preference associated with the data object, and comparing the storage preference with the storage attributes of the plurality of sets of storage nodes to determine a best match. Following selection of a set of storage nodes, the computing device facilitates storage of the data object in the selected set of storage nodes.

Abstract: Recommending changes to a storage system, including: identifying, using predicted characteristics of one or more workloads executing on the storage system, one or more configuration changes to the storage system that would improve the operation of the storage system; selecting, from the one or more configuration changes to the storage system that would improve the operation of the storage system, a preferred configuration change; and recommending the preferred configuration change.

Abstract: A method for execution by one or more modules of one or more processors of a storage network includes receiving a data object for storage, segmenting the data object into a plurality of data segments and determining a level of security and a level of performance for the plurality of data segments. The method continues by determining whether one or more data segments of the plurality of data segments is to be transformed using an all-or-nothing transformation and in response to a determination to transform one or more data segments of the plurality of data segments, transforming a data segment of the plurality of data segments to produce a transformed data segment. The method continues by dispersed error encoding the transformed data segment to produce a set of encoded data slices and transmitting the set of encoded data slices to a set of storage units of the storage network.

Abstract: A method for execution by one or more computing devices of a storage network includes determining probable error locations associated within a set of storage units of the storage network based on provenance information associated with a set of encoded data slices, where the provenance information is generated as one or more tasks for error encoding a data segment of data into the set of encoded data slices and storing the set of encoded data slices are being executed. The method further includes scanning, by the computing device, the probable error locations to determine whether an error exists for the set of encoded data slices.

Abstract: A method begins by receiving data to be distributedly stored in a storage network and continues by determining a decode threshold value for storage of the data, wherein the data is to be distributedly stored in the storage network. The method continues by determining a preferred encoded data slice size for storage of the data, where the preferred encoded data slice size is based on a minimum performance level requirement and based on the preferred encoded data slice size and the decode threshold value the method continues by determining a preferred segment size for the data. The method then continues by determining a segmentation scheme for the data based on the preferred segment size for the data and segmenting the data into a plurality of data segments in accordance with the segmentation scheme. The method then continues by determining dispersed error encoding parameters for encoding each data segment and encoding each data segment to produce a set of error encoded data slices.

Abstract: A method includes identifying an independent data object of a plurality of independent data objects for retrieval from dispersed storage network (DSN) memory. The method further includes determining a mapping of the plurality of independent data objects into a data matrix, wherein the mapping is in accordance with the dispersed storage error encoding function. The method further includes identifying, based on the mapping, an encoded data slice of the set of encoded data slices corresponding to the independent data object. The method further includes sending a retrieval request to a storage unit of the DSN memory regarding the encoded data slice. When the encoded data slice is received, the method further includes decoding the encoding data slice in accordance with the dispersed storage error encoding function and the mapping to reproduce the independent data object.

Abstract: A storage network operates by: receiving a plurality of identifiers associated with a user including a user identifier and a group identifier; generating a plurality of key pairs associated with the plurality of user identifiers, the plurality of key pairs including a first key pair and a second key pair, the first key pair including a first public key and a first private key, and the second key pair including a second public key and a second private key; storing the plurality of key pairs; generating at least one request for a certificate; receiving at least one signed certificate in response to the at least one request; and accessing the storage network using the at least one signed certificate.

Abstract: A method for hardware assisted data lookup in a storage unit is provided. The method includes formatting data in at least one of a plurality of data formats for storage in the storage unit. The method includes configuring a logic unit with one or more parameters associated with the plurality of data formats and identifying incoming data with the one or more parameters as an instruction for execution.

Abstract: Tracking resource utilization using normalized Input/Output (‘I/O’) operations, including: selecting, for each storage device of one or more storage devices, a corresponding group of input/output (I/O) operations; calculating, for each storage device of the one or more storage devices, a normalized I/O operations per second (IOPS) value based on the corresponding group of I/O operations and a size scalar; and generating a report based on the normalized IOPS value for each storage device of the one or more storage devices.

Abstract: A device for use in a storage network including storage network memory distributed amongst a plurality of storage units. The device includes a processing module operably couple to a memory that stores operational instructions. The processing module is configured to execute the operational instructions to determine storage parameters associated with encoded data slices generated from data to be stored in the plurality of storage units. The storage parameters include information indicating a read threshold number of encoded data slices required to recover the data. The method further includes facilitating distributed storage of the encoded data slices among the plurality of storage units such that the number of the error-encoded data slices stored in any particular storage unit is chosen so that in the event of an unavailability of any individual storage unit, at least a read threshold number of encoded data slices are still accessible from the remaining storage units.

Abstract: A method for execution in a storage network begins by receiving a request to store a data object in a plurality of storage units and continues by determining preferred storage requirements for storing the data object. The method then continues by determining minimum storage requirements for storing the data object, determining a first set of operational parameters for storing the data object and identifying a first set of storage units for storing the data object.

Abstract: A method includes determining, by a computing device of a storage network, a storage inconsistency exists for a set of encoded data slices based on an indicator of a difference list, where the difference list is regarding storage of the set of encoded data slices within a set of storage units of the storage network and where a data segment is error encoded into the set of encoded data slices. The method further includes determining a storage resolution of a plurality of storage resolutions for the storage inconsistency based on the one or more indicators. The method further includes facilitating the storage resolution to resolve the storage inconsistency for the set of encoded data slices.

Abstract: An apparatus for artificial intelligence acceleration is provided. The apparatus includes a storage and compute system having a distributed, redundant key value store for metadata. The storage and compute system having distributed compute resources configurable to access, through a plurality of authorities, data in the solid-state memory, run inference with a deep learning model, generate vectors for the data and store the vectors in the key value store.

Abstract: Cloud-based monitoring of hardware components in a fleet of storage systems, including: collecting, for a plurality of hardware components that are included in a physical storage system, information describing the operation each hardware component, wherein information is collected for the hardware components of multiple physical storage systems; predicting, based on the information describing the operation each hardware component and historical information describing the operation of one or more other hardware components, the expected performance of each hardware component; and modifying, based on the expected performance of each hardware component, the utilization of at least one or more of the physical storage systems in the fleet.

Abstract: A method for execution by a storage network includes receiving a request pertaining to a data object. Metadata associated with the data object is determined and used to identify data segments associated with the data object and a set of storage units associated with the data segments. Based on a set of query requests, a response is received from a storage unit from the set of storage units. When the response indicates a storage environment that is unfavorable as compared to predetermined performance metrics, the storage network facilitates migration of encoded data slices associated with the storage unit to another storage unit.