Performance tuning method and device

By acquiring and analyzing the historical performance data of the storage system, dynamically adjusting resource allocation in the storage dual-active fault recovery scenario, solving the problem of incoordinated resource allocation between host services and synchronization tasks, and achieving efficient data synchronization and business continuity.

CN119690341AActive Publication Date: 2025-03-25INSPUR SUZHOU INTELLIGENT TECH CO LTD
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Patent Information

Application Number
CN202411751005.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-30
Publication Date
2025-03-25
Estimated Expiration
2044-11-30

AI Technical Summary

Technical Problem

In the scenario of dual storage failure recovery, the resource allocation mechanism of host services and synchronization tasks is not coordinated enough, making it difficult to ensure resource utilization.

Method used

By obtaining the historical performance data generated during the storage system carrying the host task, setting the host task to be stored by the second node when the first node is abnormal, and after the first node returns to normal, predictive performance indicators are generated based on the initial performance indicators and historical performance data input by the user, thereby determining the target performance indicators and performance tuning configuration parameters, and performing data synchronization tasks to synchronize the difference data.

Benefits of technology

It realizes intelligent performance tuning, optimize resource allocation, reduce business interruption, improve data synchronization efficiency, and ensure business continuity and data consistency in storage dual-active fault recovery scenarios.

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Abstract

The embodiment of the invention provides a performance adjusting and optimizing method and device.The method comprises the steps that historical performance data generated in the process that a storage system bears a host task is obtained, and then the host task is set to be stored by a second node when a first node is abnormal, the method comprises the following steps: analyzing historical performance data and an initial performance index input by a user to generate predicted performance indexes after a first node returns to normal, then selecting a target performance index from the predicted performance indexes to determine performance tuning configuration parameters, and finally executing a data synchronization task by using the performance tuning configuration parameters. The difference data between the first node and the second node is synchronized, the purpose of intelligently adjusting and optimizing performance in a storage active-active fault recovery scene is achieved, the technical effects of optimizing resource allocation and improving data synchronization efficiency are achieved, and the problems that in the related technology, resource allocation mechanisms of host services and synchronization tasks are not coordinated enough, and data synchronization efficiency is poor are solved. And the resource utilization rate is difficult to guarantee.
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