Emc IP Holding Company LLC

Dell Products Inc.

Lingdong Weng

Bing Liu

Tao Chen

Zheng Li

Embodiments of the present disclosure relate to a model training method, a failure determining method, an electronic device, and a computer program product. The model training method includes: acquiring a plurality of disk failure data sets collected in a first time period; acquiring another disk failure data set that is collected at a predetermined time point after the first time period and indicates failure information of at least one failed sector set; and training a failure determining model based on the plurality of disk failure data sets and the failure information, so that a probability of matching of predicted failure information at a predetermined time point determined by the trained failure determining model based on the plurality of disk failure data sets and the failure information is greater than a first threshold probability. By using the technical solution of the present disclosure, it is possible to predict the failure information that will occur in the sector set included in a disk based on the disk failure data set associated with a failed sector, so that a user or administrator of the disk can know the failure condition that will occur in the sector set of the disk in advance.

Model training method, failure determining method, electronic device, and program product

Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for managing a storage system. The method includes: based on respective task types of a plurality of tasks to be executed, allocating the plurality of tasks to a plurality of accelerator resources in a storage system for processing; at least for a first accelerator resource in the plurality of accelerator resources, determining a first polling interval based on an average task size of a first group of tasks allocated to the first accelerator resource; and scheduling the execution of the first group of tasks at the first accelerator resource at the first polling interval. The embodiments of the present disclosure can optimize the scheduling of the tasks to be executed on the plurality of accelerator resources, thereby optimizing system performance.

Method, device, and computer program product for managing storage system

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. Available computing resources in the storage system can be fully utilized. By choosing a target time period with a relatively low workload, a task can be processed in a more efficient manner.

Method, device, and program product for managing computing resource in storage system

Embodiments of the present disclosure relate to a method, a device, and a computer program product for latency processing. The method includes: in response to that a data persistence operation occurs in a system, acquiring a record for the operation, wherein the record includes an actual latency of the operation and a group of measurements of a group of states of the system within a predetermined time period of the occurrence of the operation. The method further includes: in response to that the actual latency of the operation is greater than a first threshold, generating an estimated latency of the operation by using a trained predictor on the basis of the group of measurements. The method further includes: determining a difference between the actual latency and the estimated latency, and in response to that the difference is less than a second threshold, identifying one or more states from the group of states on the basis of the record and the estimated latency. When there is a high-latency problem in the data persistence operation of the system, the solution of the present disclosure can identify the most major factors that lead to this problem, and thus can provide targeted repair measures to users.

Method, device, and computer program product for latency processing

Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for failure handling. This failure handling method includes determining a sector set failure type associated with at least one failed sector set of a disk; if the sector set failure type indicates that the number of failed sector sets in the at least one failed sector set is greater than a first threshold number, generating an instruction for replacing the disk; and otherwise performing at least one of the following: migrating data from a failed sector set in which the number of failed sectors is greater than a second threshold number to a spare sector set, and performing a failure recovery for a failed sector set in which the number of failed sectors is less than or equal to the second threshold number.

Method, electronic device, and program product for failure handling

Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for managing a storage system. The method includes: if it is determined based on current values of a plurality of attribute parameters of a storage device in a storage system that the storage device will have a fault, determining whether the fault of the storage device will not occur again based on reference values of attribute parameters in a first set in the plurality of attribute parameters and current values of attribute parameters in a second set in the plurality of attribute parameters. The method further includes: if it is determined that the fault of the storage device will not occur again, determining a cause of the fault based on the attribute parameters in the first set. The embodiments of the present disclosure can analyze a cause of a fault of a storage device, thereby avoiding the misjudgment of a storage device having no internal fault as a storage device having an internal fault.

Method, device, and computer program product for determining failures and causes of storage devices in a storage system

Embodiments of the present disclosure provide a computer-implemented method, an electronic device and a computer program product. The method comprises: obtaining historical data of recoverable errors that occurred in a storage disk during a first period in the past. The method also comprises: determining, based on the historical data, a predicted number of recoverable errors to occur in the storage disk during a second period. The first period has a same duration as that of the second period. The method further comprises: in response to the predicted number exceeding a threshold for identifying a slow disk, performing an operation for handling a slow disk on the storage disk.

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Beijing, China

Lingdong Weng