Performance tuning method and apparatus

By acquiring historical performance data from the storage system to generate predictive performance metrics, adjusting performance tuning configuration parameters, and optimizing resource allocation, the problem of uncoordinated resource allocation in storage dual-active fault recovery scenarios is solved, achieving efficient data synchronization and business continuity.

CN119690341BActive Publication Date: 2026-05-01INSPUR SUZHOU INTELLIGENT TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
INSPUR SUZHOU INTELLIGENT TECH CO LTD
Filing Date
2024-11-30
Publication Date
2026-05-01

AI Technical Summary

Technical Problem

In storage active-active failure recovery scenarios, the resource allocation mechanism between host services and synchronization tasks is not well coordinated, making it difficult to guarantee resource utilization and affecting host I/O performance and differential data synchronization cycle.

Method used

By acquiring historical performance data from the storage system, predictive performance metrics are generated, target performance metrics are determined, and performance tuning configuration parameters are adjusted based on these metrics to optimize resource allocation for executing data synchronization tasks, ensuring that host tasks and data synchronization tasks share the target resources.

Benefits of technology

In storage dual-active fault recovery scenarios, intelligent performance tuning is achieved, resource allocation is optimized, business interruption is reduced, data synchronization efficiency is improved, and business continuity and data consistency are guaranteed.

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Abstract

The embodiment of the present application provides a performance tuning method and device, wherein the method comprises the following steps: obtaining historical performance data generated in a process of a host task carried by a storage system; setting the host task to be stored by a second node when a first node is abnormal; analyzing the historical performance data and an initial performance index input by a user to generate a predicted performance index after the first node returns to normal; selecting a target performance index from the predicted performance index to determine a performance tuning configuration parameter; and finally executing a data synchronization task by using the performance tuning configuration parameter to realize synchronization of difference data between the first node and the second node, so that the purpose of intelligently tuning performance in a storage dual-active fault recovery scene is achieved, thereby realizing the technical effects of optimizing resource allocation and improving data synchronization efficiency, and solving the problem that the resource allocation mechanism of host services and synchronization tasks is not coordinated enough and resource utilization is difficult to guarantee in the related art.
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Citation Information

Patent Citations

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