Backup Scenario Generation for Skipped File Detection
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Solution Overview
Problem
Existing backup systems fail to predict and account for files and folders that will be skipped during the backup process, leading to gaps in data protection and potential loss of important data.
Innovation Solution
A method that utilizes file system meta-data to generate and display backup scenarios, allowing users to select and modify configurations to ensure comprehensive data protection by identifying and addressing skipped files and folders.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If traditional backup systems perform automated backups without user intervention, then backup speed and automation are improved, but data protection reliability deteriorates due to untracked skipped files and folders
Solution Approach 1:
The system provides feedback to users about files and folders that will be skipped during backup by generating backup scenarios from file system metadata. This feedback loop allows users to review and modify backup configurations before execution, ensuring that important data is not accidentally excluded while maintaining automated backup operations.
Solution Approach 2:
The system performs preliminary analysis of the file system metadata before the actual backup to predict which files and folders will be skipped. By presenting backup scenarios in advance, users can make informed decisions about backup configurations before the backup process begins, preventing data protection gaps.
2Reliability
If backup systems include all files and folders without filtering, then data protection completeness is improved, but backup time and storage usage increase
Solution Approach 1:
The system performs preliminary analysis of file system metadata to identify and categorize files and folders before the backup process. By predicting which items will be skipped and presenting this information in advance, users can make informed decisions about what to include or exclude, optimizing backup scope before execution.
Solution Approach 2:
The system generates multiple backup scenarios that range from conservative (including more files) to aggressive (excluding more files). Users can select the appropriate level of inclusion based on their specific needs, allowing for optimized backup scope that balances completeness with efficiency for different use cases.
3Measurement precision
If users manually review and modify backup configurations, then data protection accuracy is improved, but operational complexity and time required increase
Solution Approach 1:
The system segments the backup configuration process into distinct backup scenarios, each representing a different set of inclusion/exclusion rules. Users can review and modify individual scenarios independently, making the complex task of configuring backup exclusions more manageable and less error-prone.
Solution Approach 2:
The system creates backup scenarios as copies or representations of the actual file system structure, derived from metadata analysis. Users can review these simulated backup configurations before committing to actual backup operations, allowing for accurate configuration review without the full operational overhead.
4Productivity
If backup systems skip certain files and folders to improve speed, then backup productivity is improved, but data protection reliability deteriorates due to unpredictable exclusions
Solution Approach 1:
The system provides feedback to users about which files and folders would be skipped during backup by analyzing file system metadata and generating backup scenarios. This transparency allows users to review predicted exclusions and modify configurations to ensure important data is not accidentally excluded, maintaining both speed and reliability.
Data Source
AI summary
Embodiments of the invention relate to methods and systems for predicting what files and/or folders will be skipped during a backup based on the file system's meta-data. Various embodiments of the invention may determine based on a file system's meta-data that specific files and/or folders will not be backed up in accordance with a backup's current rules or configuration. The aforementioned information can then be used to notify a user or administrator what files and/or folders will not be backed up and based on that notification, they may make changes to the backup's current rules or configuration. This advantageously provides the user or administrator knowledge of gaps in the protection provided by a backup and the ability to configure it to meet their needs.