A cache holds, until a predetermined condition is satisfied, read data which is read, on the basis of a read request, from a storage device which has data including migration target data. A storage unit stores therein migration information which includes identification information and access date and time of the migration target data. A reading unit reads, on the basis of the migration information, the migration target data from the storage device in chronological order of the last access date and time and stores the migration target data in an area in the cache other than an area in which the migration target data has already been stored. A writing unit writes the migration target data stored in the cache to a storage device.

A first control unit of a first control device executes: a synchronous copy process for writing data from a host device into a first storage medium, transmitting the data to a second control device, and replying to the host device; a storage process for storing the data written in the first storage medium into a first region, instructing the second control device on a buffer switch when a predetermined condition is satisfied, and switching a storage destination to a second region; and an asynchronous copy process for transmitting the data in the first region and the second region to a third control device at a time, respectively. A second control unit stores the data transmitted from the first control unit in a second storage medium and a third region, and when the buffer switch is instructed, stores the data in the second storage medium and a fourth region.

Embodiments of the present disclosure provide a method and apparatus for providing data storage service. The method comprises: receiving a storage service template from an user, the storage service template specifying a storage service policy for the user and a service instance to launch; and providing a storage service according to the storage service template; wherein the storage service policy defines a storage function to be performed for data of the user. With the method and apparatus according to embodiments of the present disclosure, a unified solution for overall orchestration of storage functions can be provided to enable the user to customize the required storage function flexibly.

A multiprocessor system includes a first microprocessor and a second microprocessor. A first signaling pathway is configured to send message transmission coordination signals from the first microprocessor to the second microprocessor. The first signaling pathway may be coupled to at least two flag registers associated with the second microprocessor. A second signaling pathway is configured to send message transmission coordination signals from the second microprocessor to the first microprocessor. The second signaling pathway may be coupled to at least two flag registers associated with the first microprocessor. The first signaling pathway is independent of the second signaling pathway.

Systems and methods for compacting and anonymizing telemetry data in a storage system. A controller of a storage device may generate telemetry data based on collected features indicative of the performance of the storage device. The controller may store the telemetry data in the telemetry memory of the storage device. The controller may then transform the telemetry data into transformed telemetry data based on a dimension reduction algorithm, and transmit the transformed telemetry data to the host device.

A method at a computing device for data management between a publisher and at least one subscriber, the method including receiving, at a system element, memory requirements from the publisher; creating a memory allocation of a pool of data objects for the publisher based on the received memory requirements; receiving, at the system element, consumption criteria from each of the at least one subscriber; and adjusting the memory allocation of the pool of data objects based on the consumption criteria received from the at least one subscriber.

Data transformation offloading in an artificial intelligence infrastructure that includes one or more storage systems and one or more graphical processing unit (‘GPU’) servers, including: storing, within the storage system, a dataset; identifying, in dependence upon one or more machine learning models to be executed on the GPU servers, one or more transformations to apply to the dataset; and generating, by the storage system in dependence upon the one or more transformations, a transformed dataset.

Devices and techniques are disclosed herein for more efficiently exchanging large amounts of data between a host and a storage system. In an example, a read command can optionally include a read-type indicator. The read-type indicator can allow for exchange of a large amount of data between the host and the storage system using a single read command.

Aspects of a multi-protocol storage device including a controller are provided which handle mode switches after a shutdown resulting in a large amount of unfinished work by phasing the work during and after initialization. The controller operates in a first mode such as an SD mode and a second mode such as a NVMe mode. In the event of a shutdown in the second mode resulting in unfinished work, the controller initializes in the first mode. During initialization, the controller determines whether a completion time for the unfinished work exceeds an initialization time in the first mode. When the completion time exceeds the initialization time, the controller performs a first portion of the work during initialization and postpones performance of at least a second portion of the unfinished work until after initialization. As a result, initialization timeouts in the first mode due to the unfinished work may be avoided.

Systems and methods for replicating data from a first site to a second site remote from said first site are described. An embodiment includes storing compressed data on a hard disk appliance, reading said data without decompressing said data, sending said data over a wide-area-network (WAN) in a compressed state, and storing said data on a second hard disk appliance remote from said first hard disk appliance in its compressed state without performing an additional compression operation.