Abstract: 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.

Abstract: Embodiments of the present disclosure relate to a method, a device, and a computer program product for managing data transfer. A method for managing data transfer is provided, including: if determining that a request to transfer a data block between a memory and a persistent memory of a data storage system is received, obtaining a utilization rate of a central processing unit of the data storage system; and determining, from a first transfer technology and a second transfer technology and at least based on the utilization rate of the central processing unit, a target transfer technology for transferring a data block between the memory and the persistent memory, the first transfer technology transferring data through direct access to the memory, and the second transfer technology transferring data through the central processing unit. Therefore, the embodiments of the present disclosure can improve the data transfer performance of the storage system.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer storage medium for data item recommendation, and relate to the field of information processing. According to this method, a request for a data item is received from a terminal device, the request includes an identifier for identifying the data item and an application type; the application type indicates a type of use of the data item; a recommendation criterion type matching the request is determined based on the application type, the recommendation criterion type indicates a type of a criterion based on which the data item is recommended, a plurality of data items associated with the identifier are determined the plurality of data items are located in a plurality of storage devices and based on the recommendation criterion type, a recommended data item is determined from the plurality of data items as a response.

Abstract: The present disclosure relates to a method, a device, and a program product for managing a computing resource in a storage system. In one method, a processing request for processing a task using a computing resource is received. A length of time required for processing the task is acquired based on a usage state of the computing resource. A workload of the computing resource for processing a future data access request for the storage system within a future time period is determined based on a load model of the computing resource and a current workload of the computing resource. The load model describes an association relationship between a previous load and a subsequent load of the computing resource for processing a historical data access request for the storage system. A target time period matching the length of time is selected from the future time period based on the workload for processing the task. A corresponding device and a corresponding computer program product are provided.

Abstract: A kexec-based system update process wherein user-specific data is transferred on reboot of the second kernel. Upon initializing kexec load, buffer memory is assigned to the second kernel and the system loads control pages of fixed size for the second kernel boot, and also loads user-specific data onto extended control pages of variable size. Upon boot of the second kernel, the user-specific data is extracted from the extended control pages and transferred to the corresponding applications.

Abstract: Embodiments of the present disclosure relate to a method, electronic device and computer program product for processing data. The method comprises determining a first hotness associated with a first compressed data block stored on a first storage device. The method also comprises: determining, based on the hotness, whether the first compressed data is stored to the second storage device, a type of the second storage device being different from a type of the first storage device. The method further comprises: in response to determining that the first compressed data block is stored to the second storage device, generating, based on a second compression level of the compression algorithm, a second compressed data block from the first compressed data block for storing to the second storage device, wherein the second compression level corresponds to the second storage device.

Abstract: The present disclosure discloses a shower plug bracket and a moving assembly. The shower plug bracket comprises a base and a plug bracket portion. The plug bracket portion is configured to rotate up and down to adjust a use angle, the two cooperate with a locking structure, the locking structure comprises a first component and a second component, the first component is connected to the base, the second component is disposed on the plug bracket portion, the first component is disposed with first teeth, the second component is disposed with second teeth, and the first teeth are engaged with the second teeth. When the plug bracket portion rotates upward or downward, the first teeth of the first component are disengaged from the second teeth of the second component. When the plug bracket portion stops rotating, the first teeth and the second teeth reset to an engaged state.

Abstract: From among physical storage devices (PSDs) of a storage system, a set of two or more of the PSDs that are eligible for scrubbing may be determined; and from among the set, a relative eligibility of the PSDs may be determined. Conformance prediction analysis may be applied to determine the set and the relative eligibility of PSDs of the set. The conformance prediction analysis may determine a scrubbing eligibility classification (e.g., label), and a confidence value for the classification, which may serve as the relative eligibility of the PSD. The eligible PSDs may be ranked in an order according to determined confidence values, and may be further classified according to such order. The future workload of the storage system may be forecasted, and the scrubbing of PSDs may be scheduled based on the forecasted workload of the system and the relative eligibilities of the set of PSDs.

Abstract: A salt of a substituted urea derivative of formula (I) and use thereof in the pharmaceutical field. Also, a pharmaceutical composition containing the salt or a combination thereof, and use of the salt or the pharmaceutical composition in the manufacture of a medicament for treating, remitting or preventing a disorder related to tyrosine kinase activity.

Abstract: The present disclosure provides an electronic paste composition and a preparation method thereof. The electronic paste composition includes tungsten, manganese, an additive, and an organic vehicle, wherein the additive is selected from at least one of ruthenium, tellurium, germanium, and vanadium. The preparation method includes: mixing tungsten powder and manganese powder with the additive, and then bringing a mixture as acquired into contact with the organic vehicle. In addition, the present disclosure further provides a use of the electronic paste composition in preparing a ceramal heat generation body having a low temperature coefficient of resistance. Each of the electronic paste composition according to the present disclosure and the electronic paste prepared by the method according to the present disclosure has a consistent and low temperature coefficient of resistance.

Abstract: Embodiments of the present disclosure provide methods and apparatus for path selection in a storage system. The storage system includes a plurality of storage devices, each storage device being connected to a plurality of different HBA ports of a server via a plurality of paths; the method comprises: monitoring a system-wide performance metric of the storage system to obtain dynamic performance statistics; detecting a performance-related event based on the dynamic performance statistics; and selecting, from the plurality of paths, an active path for a storage device of the plurality of storage devices based on the dynamic performance statistics and a result of the detecting. With the methods or apparatus according to the embodiments of the present disclosure, performance bottleneck can be avoided or timely eliminated, load balance can be achieved, and system resources can be utilized more effectively.

Abstract: Topology and performance metrics of a storage system are monitored for anomalies. The storage system includes a set of disk array enclosures (DAEs) connected to a host server. Each DAE is chained to another DAE. Upon detecting an anomaly associated with a DAE, log collection is triggered to obtain logs from the DAE and logs in other DAEs upstream and downstream of the DAE.

Abstract: One example method includes receiving an IO request that specifies an operation to be performed concerning a data block, determining if a policy exists for a device that made the IO request, when a policy is determined to exist for the device, comparing the IO request to the policy, recording the IO request, and passing the IO request to a disk driver regardless of whether the IO request is determined to violate the policy or not.

Abstract: Embodiments described herein relate to techniques for placing backup data based on health scores. The techniques may include: obtaining data items associated with a first data domain restorer; obtaining data items associated with a second data domain restorer; making a prediction that the first data domain restorer is operating normally; making a prediction that the second data domain restorer is operating normally; assigning a confidence value to the first prediction; making a classification of the first data domain restorer in a first group based on the confidence value; assigning a confidence value to the second prediction; making a classification of the second data domain restorer in a second group based on the confidence value; and performing a data backup to the first data domain restorer from a first computing device based on the classification and a first service level required for the first computing device.

Abstract: A resource use method, an electronic device, and a computer program product are provided in embodiments of the present disclosure. The method includes determining a plurality of jobs requesting to use accelerator resources to accelerate data processing. The plurality of jobs are initiated by at least one virtual machine. The method further includes allocating available accelerator resources to the plurality of jobs based on job types of the plurality of jobs. The method further includes causing the plurality of jobs to be executed using the allocated accelerator resources. With the embodiments of the present disclosure, accelerator resources can be dynamically allocated, thereby improving the overall performance of a system.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for storage management. According to an example implementation of the present disclosure, a method for storage management includes: determining a state of cached data stored in an initial cache space of a storage system including a plurality of cache disks, the state indicating that a size of the cached data does not match a size of the initial cache space; determining, based on the state, a target cache space of the storage system; and storing at least a part of the cached data into the target cache space to change the size of the initial cache space. Therefore, the management performance can be improved, and the storage costs can be reduced.

Abstract: This application provides a packet sending method, applied to a communications system including at least two nodes, the at least two nodes include at least one parent node having a child node, a packet sent by the child node is forwarded by the parent node, and the method includes: receiving, by a first node, first instruction information, where the first instruction information is used to instruct the first node to send a packet after a first moment, and the first node is a parent node; and sending, by the first node, a first packet according to the first instruction information.

Abstract: Data protection operations including replication operations that dynamically adapt a topology of replica virtual machines. A data protection system may implement a machine model that is trained using, as input, characteristics of virtual machines. When a failure is predicted, a topology of the replica virtual machines is changed. The topology may also change when changes in the environment are detected. The changes may include redistributing the protected applications to the replica virtual machines and/or scaling the replica virtual machines.

Abstract: Data protection operations including replication operations are disclosed. Virtual machines, applications, and/or application data are replicated according to at least one strategy. The replication strategy can improve performance of the recovery operation.