Automated Backup Restoration Sequence via Finite State Machine
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Restoring data to a desired state in complex backup environments is time-consuming and prone to user error due to the need to sift through multiple backups and manually select restoration points, especially in systems with overlapping protection and varying backup methods.
Innovation Solution
A system and method that identify the necessary backup datasets and order them for restoration to a selected state, using a finite state machine to determine the correct sequence, thereby simplifying the restoration process and reducing administrative effort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple backup systems with overlapping protection are used, then data protection reliability is improved, but restoration complexity increases
Solution Approach 1:
The patent introduces an intermediary system that automatically analyzes backup datasets, determines their relationships and overlaps, and generates a recommended restoration sequence. This intermediary layer shields administrators from the complexity of multiple overlapping backups while maintaining high data protection reliability.
Solution Approach 2:
The system provides feedback to administrators by presenting analyzed backup relationships and recommended restoration sequences, allowing verification and adjustment while leveraging automated analysis to reduce complexity in multi-backup environments.
2Adaptability or versatility
If administrators manually select and order backup datasets for restoration, then flexibility in restoration options is improved, but time consumption increases
Solution Approach 1:
The system performs preliminary analysis of backup datasets, pre-determining relationships, overlaps, and optimal restoration sequences before the actual restoration is needed. This advance preparation significantly reduces the time required during actual restoration operations while maintaining flexibility.
Solution Approach 2:
The system enables self-service restoration by automatically analyzing backup datasets and generating recommended restoration sequences, allowing administrators to quickly initiate restoration without manual analysis while retaining the ability to adjust recommendations as needed.
3Adaptability or versatility
If comprehensive backup coverage is implemented, then data protection scope is improved, but difficulty in identifying necessary backups increases
Solution Approach 1:
The patent introduces an intermediary analysis system that automatically examines comprehensive backup datasets, identifies relationships and overlaps, and determines which backups are necessary for restoration. This intermediary layer makes comprehensive backup coverage manageable by automatically processing the complexity of identifying necessary backups.
Solution Approach 2:
The system provides feedback to administrators by presenting analyzed backup relationships and identification of necessary datasets, enabling verification and adjustment while leveraging automated analysis to reduce the difficulty of identifying required backups across comprehensive coverage.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A computer-implemented method for restoring application data may include (1) receiving a request to restore resource data for a resource to a selected state, (2) identifying a plurality of backup datasets, each backup dataset within the plurality of backup datasets including at least a portion of backed up data for the resource, (3) determining an order in which to restore the plurality of backup datasets in order to restore the resource data to the selected state, and (4) restoring the resource data for the resource to the selected state by restoring the plurality of backup datasets in the order as determined. Various other methods, systems, and computer-readable media are also disclosed.