Imminent Failure Backup Prioritization Mechanism
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Solution Overview
Problem
Current backup systems often fail to protect all data, especially during system failures, as they do not prioritize the most critical data for immediate backup, leading to potential loss or corruption.
Innovation Solution
Implementing a prioritization mechanism that identifies and backs up data based on importance, type, last modification or use, and imminent failure notifications, using agents to scan and prioritize files, and dynamically selecting faster backup targets to ensure critical data is preserved quickly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional backup systems back up data according to a schedule or continuously, then data protection is provided, but critical data may still be lost upon system failure because not all data is backed up in time
Solution Approach 1:
The system performs preliminary actions by proactively identifying and backing up critical data before failure occurs. Agents continuously monitor data changes and prioritize backup of high-value files based on predefined criteria, ensuring that the most important data is protected in advance rather than waiting for scheduled backups or reacting after failure.
Solution Approach 2:
The system implements feedback mechanisms where agents monitor data changes, backup status, and system conditions in real-time. This feedback loop allows the system to dynamically adjust backup priorities and initiate immediate backups when critical data changes are detected, improving reliability by responding to actual system state rather than following rigid schedules.
2Reliability
If backup systems attempt to back up all data continuously, then complete data protection is achieved, but backup time and resources are excessively consumed
Solution Approach 1:
The system applies local quality by treating different data files differently based on their individual characteristics and importance. Instead of uniform backup treatment, each file is assigned a priority level based on criteria such as file type, size, modification frequency, and business value. This allows the system to focus backup resources on critical data while reducing or deferring backups of less important files, optimizing the balance between completeness and time consumption.
Solution Approach 2:
The backup system segments data into different priority categories and handles each segment differently. Critical data is backed up immediately with high priority, while less important data is backed up asynchronously or deferred. This segmentation allows the system to achieve comprehensive data protection over time without requiring all data to be backed up simultaneously, thus reducing backup time and resource consumption.
3Device complexity
If standard backup procedures are used without prioritization, then backup process is simple, but critical data may be lost during the backup process itself
Solution Approach 1:
The system performs preliminary actions by identifying and locking critical files before the backup process begins. Agents pre-scan the system to determine which files are most important and ensure they are ready for backup, preventing them from being modified or deleted during the backup process. This preliminary preparation maintains relative simplicity while significantly improving backup reliability for critical data.
Data Source
AI summary
A method, article of manufacture, and apparatus for backing up or archiving objects in the event of imminent failure, comprising receiving an indication of imminent failure, determining a target, and backing up the objects to the target. The target may be determined by the nature of the imminent failure, and may be selected to be the fastest available target. More than one target may be selected, and more than one connection may be used to transfer objects.