Electronic File Backup Prioritization via Value-Based Heuristics
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
End users face challenges in effectively prioritizing and backing up important electronic files due to hardware failures, loss, theft, and malicious threats, leading to potential data loss, as existing backup systems lack a method to differentiate and prioritize files based on their value to the user.
Innovation Solution
A technology that prioritizes electronic files for backup based on their defined value to the user, using heuristic definitions and rules to assign backup priorities, ensuring more valuable files such as work products are backed up first, by analyzing file properties and user interaction behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all electronic files are backed up with equal priority, then the backup system is simple to implement, but valuable files may not be protected in a timely manner during network bandwidth constraints
Solution Approach 1:
The patent assigns different backup priorities to different files based on their individual characteristics (file type, modification recency, size). This local differentiation allows valuable files to be prioritized while less critical files receive lower priority, resolving the contradiction between reliable data protection and system simplicity.
Solution Approach 2:
The system changes the parameter of backup priority from a uniform value to a variable value determined by multiple factors including file type, modification time, and file size. This parameter transformation enables dynamic prioritization that improves data protection effectiveness without requiring complete system redesign.
2Reliability
If backup priority is determined by multiple file characteristics, then valuable files are protected more effectively, but the complexity of determining backup order increases
Solution Approach 1:
The patent segments the file value assessment into distinct, measurable characteristics: file type classification, modification recency detection, and size evaluation. Each characteristic is assessed independently using clear criteria, making the overall prioritization process more manageable and less complex than holistic evaluation.
Solution Approach 2:
The system uses feedback from file metadata (modification timestamps, file type information, size data) to automatically determine backup priority. This feedback mechanism allows the system to continuously assess and adjust prioritization based on objective file characteristics without requiring complex manual evaluation.
3Measurement precision
If manual file prioritization is required, then backup accuracy can be high, but user time and effort increase significantly
Solution Approach 1:
The patent implements self-service prioritization where the backup system automatically determines file priorities based on objective characteristics like file type, modification recency, and size. This eliminates the need for manual user intervention while maintaining high accuracy in identifying valuable files, thus resolving the contradiction between precision and time investment.
Solution Approach 2:
The system performs preliminary assessment of file characteristics automatically before backup operations begin. By pre-evaluating file types, modification timestamps, and sizes, the system establishes backup priorities in advance without requiring user time during the actual backup process, achieving both accuracy and time efficiency.
4Reliability
If backup operations run continuously, then data protection is maximized, but network bandwidth and system resources are过度 consumed
Solution Approach 1:
The patent implements periodic backup operations triggered by file system events (creation, modification, deletion) rather than continuous monitoring. This event-driven periodic action provides effective data protection by capturing all changes while consuming network bandwidth only when necessary, resolving the contradiction between continuous protection and resource consumption.
Solution Approach 2:
The system applies partial action by prioritizing backup of only the most valuable files during each backup cycle rather than backing up all files equally. This selective approach ensures critical data protection while reducing overall network bandwidth consumption, achieving an optimal balance between reliability and resource usage.
Data Source
AI summary
A technology is described for prioritizing electronic files for backup to a backup storage. An example method may include determining a defined file value of an electronic file identified for backup to a backup storage. A backup priority may be assigned to the electronic file based in part on the defined file value of the electronic file, and a backup entry for the electronic file may be added to a backup queue. Thereafter, the backup entry for the electronic file may be retrieved from the backup queue, wherein the backup priority for the electronic file may be higher as compared to backup priorities of other electronic files represented by backup entries in the backup queue, and a copy of the electronic file represented by the backup entry in the backup queue may be sent to the backup storage.