Abstract: A method for reservations in a storage system, is provided. The method includes determining status of all storage devices expected to be in the storage system, receiving a request for a reservation of a storage device, and determining a type of service to be performed on the storage device. The method includes determining whether the type of service is in a first class of services or a second class of services and granting or denying the reservation based on the type of service, wherein a reservation to perform a service in the first class of services is granted as a result of determining all the storage devices expected are online and wherein a reservation to perform a service in the second class of services is granted as a result of determining a sufficient subset of all the storage devices expected are online to perform reading and writing with redundancy.

Abstract: Reads of data stored at the solid-state storage device are monitored. A set of data stored at the solid-state storage device is marked based on the monitoring of the reads of the data. A read request is received for a subset of data of the set of data stored at the storage device. In response to receiving the read request for the subset of data, the subset of data is relocated to a cache memory of the solid-state storage device.

Abstract: A method of data reduction in a partially encrypted volume includes receiving data to be stored on a storage array, decrypting the data using a first encryption key to generate first decrypted data, and decrypting the data using a second encryption key to generate second decrypted data. The method further includes comparing, by a storage array controller, a first compressibility value of the first decrypted data to a second compressibility value of the second decrypted data. The method further includes storing the first decrypted data if the first compressibility value is greater than or equal to the second compressibility value. The method further includes storing the second decrypted data if the second compressibility value is greater than the first compressibility value.

Abstract: Symmetric storage using a cloud-based storage system, including: receiving, at a cloud-based storage system among storage systems synchronously replicating a dataset, an I/O operation directed to the dataset; determining, in dependence upon the I/O operation, a metadata update describing a mapping of segments of content to an address within a storage object, wherein the storage object includes the dataset; and synchronizing metadata on another storage system of the storage systems by sending the metadata update from the cloud-based storage system to the other storage system to update a metadata representation on the second storage system in accordance with the metadata update.

Abstract: A method comprises encoding, by a DS processing unit of a dispersed storage network (DSN), a data segment using an information dispersal algorithm with a first pillar width number to produce a set of encoded data slices. The method continues by generating a set of DSN addresses for the set of encoded data slices based on the first pillar width number, a second pillar width number and a DSN address mapping function. The method continues by identifying, based on the DSN addresses, a first group of storage units of a set of storage units that includes the second width pillar number of storage units and where the first group of storage units includes the first pillar width number of storage units. The method continues by sending the set of encoded data slices to the first group of storage units in accordance with the set of DSN addresses.

Abstract: A method for execution by a dispersed storage and task (DST) execution unit identifying a failing memory device based on memory device diagnostic data. A cloning task is executed by designating memory of a replacement memory device to store encoded slices stored in the failing memory device, where the cloning task is executed over a cloning duration time period. A write request is received via a network at a receiving time during the cloning duration time period that includes a new encoded slice, and the new encoded slice is assigned to a temporary memory device for storage based on an identifier of the new encoded. The new encoded slice is transferred from the temporary memory device to the replacement memory device in response to an elapsing of the cloning duration time period corresponding to completion of the execution of the cloning task.

Abstract: A method for execution by a dispersed storage network (DSN), the method begins by determining a slice name of an encoded data slice to verify, obtaining the encoded data slice and optionally compressing the encoded data slice, determining a dispersed storage (DS) unit of the stored set of DS units to produce a selected DS unit, sending the compressed encoded data slice request message to the selected DS unit, receiving a compressed encoded data slice response message to produce a selected compressed encoded data slice, determining a compressed encoded data slice partial of the encoded data slice, determining whether a sum of compressed encoded data slice partials compares favorably to the selected compressed encoded data slice, indicating a failed test when the processing module determines that the comparison is not favorable and indicating a passed test when the processing module determines that the comparison is favorable.

Abstract: Cloning storage systems in a cloud computing environment, including: receiving a request to create a cloud-based storage system; retrieving, from cloud-based object storage, one or more objects to include in the cloud-based storage system; and creating the cloud-based storage system, including storing, in block storage of the cloud-based storage system, data contained in the one or more objects retrieved from the cloud-based object storage.

Abstract: Determining active membership among a set of storage systems, including: determining, by a cloud-based storage system among the set of storage systems, that a membership event corresponds to a change in membership to the set of storage systems synchronously replicating the dataset; applying, in dependence upon the membership event, one or more membership protocols to determine a new set of storage systems to synchronously replicate the dataset; and for one or more I/O operations directed to the dataset, applying the one or more I/O operations to the dataset synchronously replicated by the new set of storage systems.

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: A method for execution by a computing device of a dispersed storage network includes identifying a DSN address for data to be accessed within a DSN. A plurality of storage cohorts associated with the data to be accessed are identified. Ranked scoring information for each storage cohort obtaining ranked scoring information for each storage cohort of the plurality of storage cohorts with regards to the data to be accessed is obtained. A storage cohort of the plurality of storage cohorts is selected based on the ranked scoring information. Slice access requests are issued to a set of storage units of the selected storage cohort for the data to be accessed. Slice access responses received from at least one of the set of storage units of the selected storage cohort are processed.

Abstract: There is provided a method and server for retrieving data from a data storage system including a plurality of storage nodes. The method may include sending a multicast message to at least a subset of the storage nodes. The multicast message may include a request for the subset of storage nodes to send the data. The multicast message may further include a data identifier indicating the data to be retrieved. Moreover, the method may include receiving data from a first storage node of the subset of storage nodes. The data received from the first storage node may correspond to the requested data. At least the act of sending a multicast message or the act of receiving data from the first storage node may be performed on a condition that an estimated size of the data is less than a predetermined value.

Abstract: A method begins or continues with deleting a security code from random access memory (RAM) of a computing device when the computing device is inactive. The security code is required for functionality of the computing device and is stored in the RAM. The method continues with detecting a reactivation request. In response to the reactivation request, the method continues with obtaining authentication data from an activation requester, generating a set of blinded random numbers, and requesting a plurality of encoded data slices from a plurality of other devices. The method continues with performing a sequence of operations on the plurality of encoded data slices using the authentication data and the set of blinded random numbers to produce a recovered security code. When the recovered security code is verified, the method continues with storing the recovered security code as the security code in RAM and activating operation of the computing device.

Abstract: Reversing deletion of a virtual machine including managing, by a storage system, a repository of virtual machine snapshots on a datastore; receiving, by the storage system, a request to recover a deleted virtual machine from the datastore; accessing, by the storage system, the repository of virtual machine snapshots on the datastore to generate a list of deleted virtual machines associated with virtual machine snapshots in the repository of virtual machine snapshots; receiving, by the storage system, a selection of one of the deleted virtual machines in the list of deleted virtual machines; and recovering, by the storage system, the selected deleted virtual machine using a virtual machine snapshot for the selected deleted virtual machine.

Abstract: Adapting target service times in a storage system, including: in response to detecting that a measured service time for I/O requests in a storage system is failing to meet a target service time for the I/O requests, reducing an I/O capacity of the I/O requests in the storage system; determining that reducing the I/O capacity of the I/O requests to meet to the target service time causes the I/O capacity of the I/O requests to cross a threshold I/O capacity for the storage system; and in response to determining that the I/O capacity of the I/O requests has crossed the threshold I/O capacity for the storage system: determining an updated service time based on the measured service time for the I/O requests in the storage system; and updating the target service time based on the updated service time.

Abstract: A method of volume compressed header identification includes reading, by a processing device of a host, compressible data on a sector of a storage volume of a storage array. The method further includes compressing the compressible data to generate compressed data for the sector. The method further includes adding, by the processing device of the host, metadata associated with the storage volume to the compressed data. The method further includes writing the compressed data, including the added metadata, to the sector of the storage volume of the storage array.

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 determines to facilitate migration of encoded data slices (EDSs) from a first storage unit (SU) pool to a second SU pool and identifies storage resources associated with the EDSs to be migrated. The computing device then generates a migration schedule for the EDSs based on performance information associated with storage resources and facilitates the migration of the plurality of EDSs based on the migration schedule using the storage resources based on an aggression factor and adapts the aggression factor as deemed necessary based on the performance information.

Abstract: A method begins by a processing module identifying one or more devices of a dispersed storage network (DSN) potentially contributing to a DSN performance issue. For a device of the identified one or more devices, the method continues where the processing module determines a potential performance issue of the device and determines a performance test based on the potential performance issue. The method continues where the processing module issues a message to the device that includes test information specific for the device to execute the performance test and receives a response message that includes a specific test result data generated based on the test information. The method continues where the processing module determines, based on the specific test result data, whether the device has the potential performance issue and is contributing to the DSN performance issue.

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 processing circuitry operably coupled to the interface and to the memory. The processing circuitry is configured to execute the operational instructions to perform various operations and functions. The computing device detects at least one available memory device within a storage unit (SU). The computing device identifies storage capacities of each of the memory devices within the SU and identifies a DSN address range associated with the SU. The computing device maps the DSN address range to each of the memory devices within the SU based on the storage capacities to generate a memory mapping of the memory devices within the SU. The computing device then facilitates redistribution of some EDS from a first memory device to the at least one available memory device within the SU.

Abstract: A method includes receiving, by a storage drive and from a storage controller, a modified first submission queue command including a first logical unit identifier. The first submission queue command includes a first host identifier to identify a first host controller was previously received by the storage controller from the first host controller. The first submission queue command was modified by the storage controller to replace the first host identifier with the first logical unit identifier. The method also includes responsive to receiving the modified first submission queue command, identifying, by the storage drive, a first logical unit of storage based on the first logical unit identifier of the modified submission queue command. The method includes granting, by the storage drive, a reservation for access to the storage drive on behalf of the first host controller by associating the reservation for the first logical unit with a second logical unit of storage.