Cloud Data Backup Prioritization via Application Usage Grading
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Cloud storage systems face storage pressure issues due to limited capacity when backing up large amounts of data, making it tedious for users to select which data to backup, and existing solutions do not effectively manage resource allocation efficiently.
Innovation Solution
A data backup method and apparatus that acquires remaining cloud storage capacity, collects usage characteristic information of applications, grades them based on usage, and selectively backs up updated data of specific types when the storage capacity is low, ensuring efficient data prioritization and reduction of storage pressure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If cloud space is used to backup large amounts of data, then data backup capacity is improved, but storage pressure increases
Solution Approach 1:
The patent segments backup data into different priority levels (first priority, second priority, etc.) based on application usage characteristics. This segmentation allows the system to selectively backup only high-priority data when cloud storage capacity is limited, thereby maintaining adequate backup capacity while preventing storage pressure from becoming excessive.
2Measurement precision
If user manually selects data to backup, then backup precision is improved, but operation complexity increases
Solution Approach 1:
The patent implements a self-service mechanism where the system automatically grades and prioritizes backup data based on application usage characteristics without requiring manual user intervention. The system autonomously determines which data to backup by analyzing usage patterns, thereby achieving precise backup selection while eliminating the operational complexity of manual data selection.
Solution Approach 2:
The system continuously monitors application usage characteristics and uses this feedback to dynamically adjust backup priorities. By incorporating usage data feedback into the prioritization algorithm, the system achieves accurate identification of important data while operating automatically without user involvement.
3Quantity of substance
If all application data is backed up, then data completeness is improved, but storage efficiency deteriorates
Solution Approach 1:
The patent applies local quality by treating different data items differently based on their specific usage characteristics. Instead of uniformly backing up all data, the system assigns different priority levels to different applications and their data based on local usage patterns. This allows the system to maintain completeness of important data while excluding less important data, thereby improving storage efficiency.
Data Source
Figure 1~2
Figure 3~4
Figure 5
AI summary
A data backup method and apparatus, the method comprising the following steps: acquiring the remaining storage capacity of a cloud space (S101); collecting usage characteristics information of each application when the remaining storage capacity is less than a predetermined value (S102); grading each application according to the usage characteristics information so as to obtain a grade corresponding to each application (S103); and when the grade corresponding to the application is consistent with a preset grade and the data in the corresponding application is updated, backing up the updated data to the cloud space (S104). Said method may reduce the storage load of the cloud space and facilitate subsequent backup of important data.