Method, system and device for scaling up / down database cluster, storage medium, and computer program product

By acquiring the response time information and data access request type of the database cluster, the scaling strategy is automatically determined, which solves the problem of low efficiency in scaling up and down the database cluster in the existing technology and realizes intelligent and efficient scaling up and down processing.

WO2026145576A1PCT designated stage Publication Date: 2026-07-09CHINA MOBILE (SUZHOU) SOFTWARE TECH CO LTD +1
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Patent Information

Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
CHINA MOBILE (SUZHOU) SOFTWARE TECH CO LTD
Filing Date
2025-12-30
Publication Date
2026-07-09

AI Technical Summary

Technical Problem

In existing technologies, the scaling up and down process of database clusters is prone to human error and involves cumbersome steps, resulting in low efficiency and making it impossible to achieve automated and intelligent scaling up and down processing.

Method used

By acquiring response time information of different types of data access requests from the database cluster, the system automatically determines scaling strategies based on response time and data access request type, and performs corresponding scaling operations, including creating or deleting nodes and migrating data, to adapt to changes in business needs.

Benefits of technology

It enables intelligent and efficient scaling of the database cluster, improving the intelligence and efficiency of scaling, reducing human error, and adapting to dynamic changes in business needs.

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Abstract

Disclosed in embodiments of the present application are a method, system and device for scaling up / down a database cluster, a storage medium, and a computer program product. The method comprises: acquiring response time information of a database cluster to be scaled up / down for different types of data access requests; determining a scale-up / down strategy for the database cluster on the basis of the response time information and the types of the data access requests; and scaling up / down the database cluster on the basis of the scale-up / down strategy. In this way, the scale-up / down strategy for the database cluster is determined on the basis of the response time information of the database cluster for different types of data access requests and the types of the data access requests, thereby implementing a mechanism for automatically triggering scale-up / down of the database cluster on the basis of service requirements for the database cluster and needs of a database for processing services, and improving the intelligence level of triggering scale-up / down of the database cluster and improving the efficiency of scale-up / down of the database cluster.
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