Abstract: A computing device includes an interface configured to interface and communicate with a dispersed storage network (DSN), a memory that stores operational instructions, and a processing module operably coupled to the interface and memory such that the processing module, when operable within the computing device based on the operational instructions, is configured to perform various operations. The computing device receives, from another computing device, a vault provisioning request and processes the vault provisioning request to determine whether the other computing device is authorized to request provisioning of another vault within the DSN. When the other computing device is authorized, the computing device generates a vault within the DSN in response to the vault provisioning request from the other computing device and updates access control information within the DSN to include an initial access control for the vault and an identifier of the other computing device.

Abstract: A method for execution by a dispersed storage network (DSN). The method begins by obtaining a data object for synchronized storage within a plurality of storage vaults, identifying a plurality of storage vaults, encoding the data object for each storage vault, initiating storage of data slices for each storage vault and interpreting received data slice information from at least some of the storage vaults to determine a number of storage vaults that have successfully stored the corresponding plurality of sets of encoded data slices and when the vault threshold number of storage vaults have not successfully stored the corresponding plurality of sets of encoded data slices within a synchronization timeframe, initiating a rollback process to abandon storage of the data object in the plurality of storage vaults and a store data response to indicate unsuccessful synchronized storage of the data object in the plurality of storage vaults.

Abstract: A method includes dispersed storage error encoding a data object to produce a set of encoded data slices. The method further includes obtaining routing path performance information for a plurality of routing paths from the computing device to a set of storage units. The method further includes selecting a first routing path for sending a first subset of the set of encoded data slices, where the first routing path has a performance level greater than a first performance threshold. The method further includes selecting a second routing path for sending a second subset of the set of encoded data slices, where the second routing path has a performance level less than or equal to the first performance threshold. The method further includes sending the first and second subsets of encoded data slices to the set of storage units via the first and second routing paths for storage therein.

Abstract: A method for execution by a computing device of a storage network includes obtaining storage performance information for a set of storage units of the storage network, where data segments are dispersed storage error encoded into pluralities of sets of encoded data slices in accordance with error encoding parameters that include a pillar width number and a decode threshold number, which is a number of encoded data slices the set of encode data slices is required to reconstruct a data segment of data segments. The method further includes determining, based on the storage performance information and the error encoding parameters, a performance threshold number for a write request to store a set of encoded data slices of the pluralities of sets of encoded data slices in the set of storage units, where the performance threshold number is greater than the decode threshold number and less than the pillar width number.

Abstract: A method includes receiving data for storage and encoding the data to produce a plurality of data slices. Metadata is determined for a data slice of the plurality of data slices. The metadata is stored in a metadata storage tree. The metadata storage tree is stored via a first plurality of memory devices of a first memory type. The data slice is stored in a slice storage location in a second plurality of memory devices of a second memory type. The slice storage location is indicated by the metadata. The first memory type has a higher performance level than the second memory type based on a utilization approach.

Abstract: A storage network receives data and a corresponding task, selects a storage units for the task, determines whether the data slice is locally available and when the data slice is not locally available, determines whether a redundant data slice is available from another storage unit. When the redundant data slice is not available from another storage unit, the storage network facilitates rebuilding the data slice to produce a rebuilt data slice by retrieving a decode threshold number of data slices corresponding to the data slice, decoding the decode threshold number of data slices to reproduce a data segment and re-encoding the data segment to produce a pillar width number of data slices that includes the rebuilt data slice.

Abstract: Event records from multiple computing devices are received at a managing unit. Individual event records include an event identifier field including an event identifier identifying a first event associated with a particular computing device, a parent event identifier field identifying a parent event that initialized the first event, and an entity identifier field including an entity identifier identifying the particular computing device. The managing unit generates log records associated with event identifiers included in the event records. The log records include state fields indicating a state of a particular event associated with a particular event identifier. Based on a correlation of the event and log records, the managing unit determines at least two computing devices associated with events resulting in an error state, and identifies parent events that initialized the events with errors. The managing unit generates a report linking the parent events to the events having an error state.

Abstract: Converting RAID data between persistent storage types, including: for each portion of a RAID shard of a RAID stripe: writing, to a respective plurality of source solid state drives, the portion of the RAID shard; detecting that all portions of the RAID shard have been successfully written; copying, from one of the plurality of source solid state drives to a respective target solid state drive among a plurality of target solid state drives from one of the plurality of source solid state drives, the RAID shard, where the RAID shard is copied from a source solid state drive that is different from where each other RAID shard of the RAID stripe is copied from.

Abstract: Staging data on a storage element integrating fast durable storage and bulk durable storage, including: receiving, at a storage element integrating fast durable storage and bulk durable storage, a data storage operation from a host computer; storing data corresponding to the data storage operation within fast durable storage in accordance with a first data resiliency technique; and responsive to detecting a condition for transferring data between fast durable storage and bulk durable storage, transferring the data from fast durable storage to bulk durable storage in accordance with a second data resiliency technique.

Abstract: An illustrative method includes an object retention management system establishing a retention policy for a bucket of an object-based storage system, detecting an operation that causes an object to be stored within the bucket, and applying, based on the detecting of the operation, the retention policy to the object, the retention policy preventing the object from being deleted or overwritten for a predefined time duration.

Abstract: A method for proactively rebuilding user data in a plurality of storage nodes of a storage cluster is provided. The method includes distributing user data and metadata throughout the plurality of storage nodes such that the plurality of storage nodes can read the user data, using erasure coding, despite loss of two of the storage nodes. The method includes determining that one of the storage nodes is unreachable and determining to rebuild the user data for the one of the storage nodes that is unreachable. The method includes reading the user data across a remainder of the plurality of storage nodes, using the erasure coding and writing the user data across the remainder of the plurality of storage nodes, using the erasure coding. A plurality of storage nodes within a single chassis that can proactively rebuild the user data stored within the storage nodes is also provided.

Abstract: A method for mapping LUNs (logical unit numbers) in storage memory, performed by a storage system, is provided. The method includes determining a set of LUNs in the storage memory and generating a mapping from a logical address space to all of the LUNs in the set, based on the determining, so that each logical address in the logical address space maps to one LUN in the set. The method includes accessing one or more of the LUNs in accordance with the mapping.

Abstract: An illustrative method includes detecting, by a cloud based storage system services provider based on a problem signature, that a storage system has experienced a problem that is associated with the problem signature; and deploying, without user intervention, one or more corrective measures that modify the storage system to resolve the problem.

Abstract: A storage network operates by: issuing a read threshold number of read slice requests to storage units of a set of storage units, where the read threshold number of read slice requests identifies a read threshold number of encoded slices of a set of encoded slices corresponding to a data segment; when one or more other encoded data slices of the read threshold number of encoded slices is not received within a time threshold, facilitating receiving a decode threshold number of encoded slices of the set of encoded slices; decoding the decode threshold number of encoded slices to produce recovered encoded data slices, wherein a number of the recovered encoded data slices corresponds to the read threshold number minus a number of the encoded slices received within the time threshold; and outputting the recovered encoded data slices and the encoded slices of the read threshold number of encoded slices received within the time threshold.

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.

Abstract: Attributing consumed storage capacity among entities storing data in a storage array includes: identifying a data object stored in the storage array and shared by a plurality of entities, where the data object occupies an amount of storage capacity of the storage array; and attributing to each entity a fractional portion of the amount of storage capacity occupied by the data object.

Abstract: Applying a rate limit across a plurality of storage systems, including: determining a rate limit for paired storage systems; receiving, by a first storage system, an amount of I/O operations serviced by the second storage system during a previous predetermined period of time; determining whether the amount of I/O operations serviced by the second storage system is less than half of the rate limit for the paired storage systems; if so, setting local a rate limit for a next predetermined period of time for the first storage system to the difference between the rate limit for the paired storage systems and the amount of I/O operations serviced by the second storage system during the previous predetermined period of time; and otherwise, setting a local rate limit for a next predetermined period of time for the first storage system to half of the rate limit for the paired storage systems.

Abstract: A method for execution by a computing device of a storage network begins by obtaining scoring information for a rebuilding encoded data slices for one or more storage units of a set of storage units of the storage network, where the scoring information includes two or more of a plurality of rebuilding rates, a plurality of input/output rates, a plurality of scores, and a plurality of selection rates. The method continues with determining a rebuilding rate of the plurality of rebuilding rates to utilize for the rebuilding based on the scoring information. The method continues by implementing the rebuilding of the encoded data slices in accordance with the rebuilding rate.

Abstract: A method for execution by a computing device to adjust data storage efficiency of data in a storage network includes determining an estimated overwrite frequency for a data segment for storage in memory of the storage network. The method continues by determining a storage approach for the data segment based on the estimated overwrite frequency. The method continues by processing the data segment based on the storage approach to produce a processed data segment. The method continues by error encoding the processed data segment to produce a set of encoded data slices, where a decode threshold number of encoded data slices is needed to recover the processed data segment. The method continues by storing the set of encoded data slices in the memory of the storage network.

Abstract: Adaptive storage processing for storage-as-a-service, including detecting, by a cloud-based monitoring system, a storage system state for a storage system by monitoring the storage system in real-time remotely via a network; selecting, by the cloud-based monitoring system based on the storage system state, an entry in a tunables repository, wherein the entry in the tunables repository comprises a tunable parameter for the storage system state; accessing, by the cloud-based monitoring system via the network, a gateway for the storage system; and modifying, by the cloud-based monitoring system via the gateway, the tunable on the storage system based on the tunable parameter for the storage system state.