Cloud Storage Data Selection Using Image Quality Metrics
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Solution Overview
Problem
Users often exceed cloud storage contractual limits unintentionally due to automatic backup from mobile devices, leading to refused storage or additional charges, and may lose data if their devices are lost, damaged, or stolen, as they are not aware of storage consumption rates.
Innovation Solution
A method that allows users to configure criteria for selecting and prioritizing data for cloud storage based on user preferences, using facial recognition, clarity analysis, and predictive algorithms to determine which data to prioritize and store, thereby managing storage usage effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automatic backup is enabled to ensure data safety, then data reliability is improved, but storage consumption increases uncontrollably leading to exceeded contractual limits
Solution Approach 1:
The system changes the parameters of data selection by analyzing image quality metrics (blur, exposure, focus) and automatically adjusting which files are selected for backup based on these parameters, thereby controlling storage consumption while maintaining reliability of important data
Solution Approach 2:
The system enables self-service by automatically evaluating and selecting images for backup without user intervention, using built-in quality assessment algorithms to determine which images meet the criteria for cloud storage, thus preventing excessive storage usage while ensuring important data is preserved
2Reliability
If all data is backed up to cloud storage to prevent data loss, then data security is improved, but additional charges are incurred due to exceeding storage limits
Solution Approach 1:
The system applies parameter-based filtering by evaluating image quality parameters (blur level, exposure accuracy, focus quality) and only selecting images that meet predetermined thresholds for cloud backup, thereby reducing total storage consumption and avoiding additional charges while maintaining security of valuable data
Solution Approach 2:
The system applies different quality standards to different images based on their individual characteristics, selecting only those images that meet specific quality criteria for cloud storage, thereby optimizing the balance between data security and storage cost management
3Reliability
If automatic backup is enabled to protect against device loss, then data protection is improved, but user awareness of storage usage is reduced
Solution Approach 1:
The system implements feedback by notifying users when images are selected for cloud backup based on quality criteria, providing visibility into which files are being stored and why, thereby maintaining user awareness while preserving automatic data protection functionality
Data Source
AI summary
A method, apparatus, and computer program product, responsive to receiving a data from a computing device connected to the computer in a cloud computing system or data center, identifies a criteria associated with the computing device, responsive to identifying the criteria, determines whether the data is authorized for transmission to a storage in the cloud computing system or data center, and responsive to determining that the data is authorized for transmission to the storage, forwards the data to the storage.