Prioritized File Restore System for Rapid Data Recovery
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Solution Overview
Problem
Existing backup systems take longer to restore data over low-bandwidth connections, leading to delayed system recovery, and are costly to upgrade for faster recovery options.
Innovation Solution
Implementing a method to prioritize the restoration of backed-up data based on file type, timestamp, and usage frequency, allowing for rapid recovery of essential files over any connection speed without increasing infrastructure costs or bandwidth.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If backup systems provide rapid or near instant functional recovery, then recovery time is reduced, but cost increases
Solution Approach 1:
The backup data is segmented into multiple priority levels (e.g., critical, important, optional) based on file attributes such as age, access frequency, and importance. The restore operation then processes segments in priority order, allowing rapid recovery of critical files without requiring expensive rapid recovery systems for all data.
Solution Approach 2:
File attributes including age, access frequency, and importance are pre-evaluated and stored during the backup process. This preliminary classification enables the restore operation to immediately identify and prioritize critical files without requiring complex real-time analysis during recovery, reducing overall recovery time without additional infrastructure cost.
2Speed
If high bandwidth connections are used for restore operations, then recovery speed increases, but infrastructure cost increases
Solution Approach 1:
The restore operation is segmented into priority-based phases, transferring critical files first over the existing bandwidth connection before proceeding to less important files. This segmentation allows the system to maximize restore speed within existing infrastructure constraints rather than requiring expensive high-bandwidth connections for all data.
Solution Approach 2:
File priority classification is performed in advance using stored metadata about file age, access patterns, and importance. This preliminary action enables the restore process to efficiently sequence transfers to maximize speed within existing bandwidth limits, eliminating the need for expensive infrastructure upgrades.
3Reliability
If all backup data is restored sequentially, then data integrity is maintained, but recovery time increases
Solution Approach 1:
The backup data is segmented into priority levels while maintaining the integrity of each segment. Critical files are restored first from their segmented portion, followed by important files, then optional files. This segmentation allows parallel restoration of different priority levels without compromising the integrity of individual file sets.
Solution Approach 2:
File attributes and priority classifications are pre-determined and stored during backup. This preliminary organization allows the restore operation to process files in optimized priority order while maintaining integrity, significantly reducing recovery time compared to sequential restoration of all data.
Data Source
AI summary
A method, article of manufacture, and apparatus for restoring or transmitting files from a first location to a second location, comprising prioritizing the files, and restoring or transmitting the files in prioritized order. In one embodiment, the files may be prioritized according to file type, and may be subsorted by timestamp. In one embodiment, the files may be prioritized according to timestamp or timestamp range, and subsorted by file type. File types may be grouped such that all file types in a group have the same priority, and the group may be associated with an application or application suite. In one embodiment, the files may be prioritized according to predicted file usage.