A processing device in a memory system identifies, while the memory device is in a first state condition, a plurality of workload conditions associated with the memory device, wherein the plurality of workload conditions comprise data reflecting a performance condition of the memory device. The processing device determines, while the memory device is in the first state condition, a host rate of a host system write performance for the memory device based on one or more workload conditions of the plurality of workload conditions. The processing device determines that one or more workload conditions of the plurality of workload conditions satisfies a first threshold criterion. Responsive to determining that the one or more workload conditions of the plurality of workload conditions satisfies the first threshold criterion, the processing device detects a change in a condition of the memory device from the first state to a second state. The processing device determines, while the memory device is in the second state condition, an adjusted host rate based on the host rate and a calculated adjustment value. The processing device uses the adjusted host rate to determine a credit consuming rate for a host write operation for the memory device.

Example methods and systems to perform a migration of a virtualized computing instance and its first snapshot hierarchy from a first object store to a second object store have been disclosed. One example method includes identifying a first disk chain of the first snapshot hierarchy having an object running point, identifying a second disk chain of the first snapshot hierarchy different from the first disk chain, and migrating the second disk chain from the first object store to the second object store to form a first branch of a second snapshot hierarchy in the second object store. After the migrating, the example method includes instructing to take a first native snapshot on the object running point in the second object store, instructing to revert the object running point along the first branch and migrating the first disk chain from the first object store to the second object store.

A system is provided including a first server storing a first data file for a first user, a second server storing a second data file for a second user, a first data card of the first user registered with the first server and locally storing a portion of the first data file, and a second data card of the second user registered with the second server and associated with the second data file. The first data card detects a pairing gesture between the first and second data cards, and in response, establishes a peer-to-peer connection between the data cards. The first data card subsequently detects a transfer gesture between the first and second data cards, and in response, transmits the portion of the first data file from the first data card to the second data card over the peer-to-peer connection.

A stretched volume may be configured from N volumes of N data storage systems configured as a cluster. N may be an integer greater than two. Each of the N volumes may be included in a different one of the N data storage systems. The N volumes may be exposed to a host as a logical volume having a unique identifier over a plurality of paths from the N data storage systems. The N volumes may be configured for multidirectional synchronous replication. At a first system of the cluster, a write operation may be received that writes to a target logical address of the stretched volume. Servicing the first write may include synchronously replicating the first write to every other one of the N data storage systems of the cluster. Also described are techniques for handling lock contention and avoiding deadlock in connection with processing writes to the stretched volume.

A distributed data storage system using erasure coding (EC) provides advantages of EC data storage while retaining high resiliency for EC data storage architectures having fewer data storage nodes than the number of EC data-plus-parity fragments. An illustrative embodiment is a three-node data storage system with EC 4+2. Incoming data is temporarily replicated to ameliorate the effects of certain storage node outages or fatal disk failures, so that read and write operations can continue from/to the storage system. The system is equipped to automatically heal failed EC write attempts in a manner transparent to users and/or applications: when all storage nodes are operational, the distributed data storage system automatically converts the temporarily replicated data to EC storage and reclaims storage space previously used by the temporarily replicated data. Individual hardware failures are healed through migration techniques that reconstruct and re-fragment data blocks according to the governing EC scheme.

Apparatuses and methods can be related power down workload estimations using artificial neural networks. Workload estimation can include predicting a duration of a subsequent power down event of the memory device. A quantity of maintenance operations to be performed on the memory device, may be predicted based on the predicted duration of the subsequent power down event, when the memory device is powered on after the subsequent power down event using an artificial neural network. The quantity of maintenance operations may be performed on the memory device prior to the subsequent power down event of the memory device.

Scalable storage cluster mirroring is disclosed. A compute instance comprising a processor device determines that storage segments have been modified on a first storage node of a plurality of storage nodes in a first cluster of storage nodes at a first data modification rate. In response to determining that the storage segments have been modified on the first storage node at the first data modification rate, a first mirror process that is configured to copy storage segments from an identified storage node to a mirrored cluster of storage nodes is initiated, and a storage node identifier that identifies the first storage node is communicated to the first mirror process.

There are provided an information processing system that operates virtual machines and storage controllers on a processor, and an information processing method executed by the information processing system. A storage controller group capable of taking over processing between the storage controllers arranged in different nodes is provided. The virtual machine is movable between the different nodes by deploy. The virtual machine and the storage controller that processes data input and output by the virtual machine are arranged in the same node. A combination of the virtual machines that cannot be arranged in the same node is defined by a restriction. A management unit arranges one of the virtual machines that cannot be arranged in the same node in the node in which the storage controller included in the storage controller group to which the storage controller used by the other virtual machine belongs is not arranged.

Techniques for generating action recommendations for a data tape system are disclosed. A data tape system generates action recommendations for a data tape based on library-based metadata messages as well as a measured data quality value of the data tape. The system initiates an operation resulting in the data tape interacting with a media drive. A data tape library controller generates one or more metadata messages based on a result of a requested operation. The metadata message may include information regarding the type of error and a default recommended course of action. The system generates the recommended action for the data tape using a trained machine learning model.

A method for tracking a progress of data copying for a live migration includes transferring, by a storage controller, a first data structure to a live migration server, the first data structure including a first status identifier indicating a location of a source data to be copied from a source storage to a target storage, and selectively generating or selectively clearing, by the storage controller, a second status identifier in or from a second data structure, based on a first current copying location of the live migration server, the second status identifier indicating a location of a first user data write to the source storage.