Data migration method and device, computer device and storage medium

By optimizing the migration strategy of the cloud storage system, based on the differences in resource utilization and time period, the problem of poor migration effect in the existing technology has been solved, and more efficient data migration and balanced resource utilization have been achieved.

CN115509733BActive Publication Date: 2026-06-19HUAZHONG UNIV OF SCI & TECH +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HUAZHONG UNIV OF SCI & TECH
Filing Date
2021-06-23
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

Existing cloud storage systems typically migrate data only when the cluster load exceeds its capacity, resulting in poor migration performance.

Method used

By determining the target cluster set and its network storage unit set, candidate migration strategies are obtained, and the migration strategies are optimized based on resource utilization differences and time period utilization differences to achieve more balanced resource utilization. This includes calculating resource utilization differences and time period resource utilization differences, and then performing data migration.

Benefits of technology

It improved the effectiveness of data migration, achieved a balance in resource utilization across the cluster in terms of space and time, and enhanced the overall performance of the cloud storage system.

✦ Generated by Eureka AI based on patent content.

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Abstract

This application relates to a data migration method, apparatus, computer equipment, and storage medium. The method includes: determining a set of network storage units corresponding to each target cluster in a target cluster set; obtaining candidate migration strategies for migrating the network storage units corresponding to the target clusters; determining a set of migrated clusters corresponding to the target cluster set based on the candidate migration strategies; obtaining a first resource utilization difference degree corresponding to the migrated cluster set, where the first resource utilization difference degree represents the difference in storage resource utilization among the clusters in the migrated cluster set; obtaining a second resource utilization difference degree corresponding to the migrated cluster set, where the second resource utilization difference degree represents the difference in storage resource utilization among the migrated cluster set at different time periods; and obtaining a target migration strategy based on the first and second resource utilization difference degrees corresponding to each candidate migration strategy. This method can improve the data migration effect and enhance cluster load balancing.
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