A method and system for auto live-mounting database golden copies. Specifically, the disclosed method and system entail reactively auto live-mounting golden copy databases on hosts or proxy hosts based on the operational state of one or more database hosts and/or one or more assets (or databases) residing on the database host(s). Should a database host prove to be unresponsive, through periodic monitoring, databases residing on the database host may be brought back online on a proxy database host using stored golden copies respective of the aforementioned databases. Alternatively, should a given database on any database host exhibit an operational abnormality (e.g., an error, failure, etc.), the given database may be brought back online on the database host or a proxy database host using a stored golden copy respective of the given database. Accordingly, through the disclosed method and system, database outages may be minimized.

Techniques discussed herein relate to providing composable edge devices. In some embodiments, a user request specifying a set of services to be executed at a cloud-computing edge device may be received by a computing device operated by a cloud computing provider. A manifest may be generated in accordance with the user request. The manifest may specify a configuration for the cloud-computing edge device. Another request can be received specifying the same or a different set of services to be executed at another edge device. Another manifest which specifies the configuration for that edge device may be generated and subsequently used to provision the request set of services on that device. In this manner, manifests can be used to compose the platform to be utilized at any given edge device.

Client devices associated with scale-out storage nodes can be managed based on scale-out storage nodes having backup power supplies. For example, a management node of a scale-out storage system can determine, from among a plurality of storage nodes of the scale-out system, that a first storage node is uncoupled to a backup power supply and that a second storage node is coupled to the backup power supply. The management node can receive device characteristics describing a type of workload and a configuration for a client device associated with the first storage node. The management node can determine the client device satisfies a migration policy based on the device characteristics. The management node can migrate the client device to the second storage node based on the client device satisfying the migration policy.

A request node is provided comprising request circuitry to issue write requests to write data to storage circuitry. The write requests are issued to the storage circuitry via a coherency node. Status receiving circuitry receives a write status regarding write operations at the storage circuitry from the coherency node and throttle circuitry throttles a rate at which the write requests are issued to the storage circuitry in dependence on the write status. A coherency node is also provided, comprising access circuitry to receive a write request from a request node to write data to storage circuitry and to access the storage circuitry to write the data to the storage circuitry. Receive circuitry receives, from the storage circuitry, an incoming write status regarding write operations at the storage circuitry and transmit circuitry transmits an outgoing write status to the request node based on the incoming write status.

The present disclosure provides a method for information storage and a system thereof, which adapts to a data storage system. A monitoring unit is configured to detecting and monitoring operations of a storage node in the data storage system to generate corresponding one and more monitoring data. A recording processor is configured to receiving the one or the plurality of monitoring data, and rendering one or a plurality of logs according to the difference of content of the one or the plurality of monitoring data. The adjustment mechanism is performed according to the stored logs, thereby the amount of large data generated during monitoring is effectively reduced.

One embodiment provides a computer implemented method of estimating replication completion time. The method includes creating a historical dataset of prior replication data; determining a set of replication parameters to consider; inputting the historical dataset and the set of replication parameters to a replication completion time estimator module; generating a replication completion time prediction based on the historical dataset and the set of replication parameters; and generating a confidence prediction corresponding to the replication completion time prediction.

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.

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.

Embodiments of the present invention provide a system, a method, and an electronic device for the cloud-based configuration of FPGA configuration data. The system includes a control module internal to an FPGA and a storage module external to the FPGA. The storage module is configured to store configuration data transmitted from a cloud, and the control module is configured to retrieve the configuration data from the storage module and to configure a corresponding processing unit of the FPGA according to the configuration data. In the embodiments of the present invention, the control module internal to the FPGA is provided, and configuration data is retrieved from the storage module external to the FPGA to configure the corresponding processing unit of the FPGA. Accordingly, during FPGA data migration, the configuration data stored in the external storage module can be directly migrated by using a general data migration method, thereby implementing live migration of FPGA data.

A data processing method is applied to a computing device serving as a blockchain node. The method comprises: acquiring a data processing request; according to the data processing request, determining a current version identifier; according to the data processing request, determining a target key value pair used for processing data, and processing data in the value range of the target value pair; writing a newly produced target value pair into a storage space, wherein the key domain of a key value pair in the storage area stores a key identifier and a version identifier, and the version identifier in the key domain of the newly produced target key value pair is the current version identifier.