On-Premise Backup Restoration to Cloud via Hierarchical Data Mining
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Solution Overview
Problem
Current methods for data restoration from on-premise systems to cloud-based services are inefficient, requiring significant computing resources and user effort, as they often involve managing data in multiple formats and environments.
Innovation Solution
A restoration agent is employed to identify and mount backups, perform data mining to create a hierarchical structure, convert data from a source format to a target format, and transfer the data to a cloud-based service, streamlining the restoration process and reducing user effort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is restored from on-premise backups to cloud-based services using traditional methods, then data restoration can be completed, but significant computing resources and user effort are required
Solution Approach 1:
A restoration service acts as an intermediary between the on-premise backup storage system and the cloud-based service. The restoration service includes a restoration agent that automatically performs data mining, hierarchical structure creation, and format conversion, eliminating the need for user intervention while optimizing resource usage through centralized control
Solution Approach 2:
The system performs preliminary data mining and hierarchical structure creation on the backup data before the actual restoration process. By pre-processing the backup files to extract and organize data structures, the system reduces the computing resources required during the transfer and conversion phases, improving overall restoration efficiency
2Ease of operation
If traditional restoration methods are used, then data can be transferred between systems, but user effort and interaction are significantly required
Solution Approach 1:
The restoration service enables self-service automation where the restoration agent automatically performs all restoration operations including identifying backup data, creating hierarchical structures, converting formats, and transferring files to the cloud. The system serves itself by autonomously completing the entire restoration workflow without requiring user configuration or intervention
Solution Approach 2:
The restoration service acts as an automated intermediary that bridges the on-premise backup system and cloud service, handling all complex operations including data mining, structure creation, and format conversion. This intermediary layer abstracts away the complexity from the user, presenting a simple interface while performing sophisticated automated operations in the background
3Adaptability or versatility
If data is managed in multiple formats and environments, then data compatibility is maintained, but data accessibility is reduced
Solution Approach 1:
The system automatically detects the format of backup files and dynamically changes parameters including data structure organization, file naming conventions, and storage metadata to match the requirements of the target cloud-based service. This parameter adaptation ensures data compatibility while maintaining accessibility through automated format transformation
Data Source
AI summary
A method for performing a backup operation includes obtaining a restoration request, and in response to the restoration request: identifying a first set of backups, wherein each backup in the first set of backups is associated with requested data, mounting the first set of backups from the backup storage system, performing data mining on the first set of backups to obtain a hierarchical structure, providing a set of options to a client based on the hierarchical structure, obtaining a selection from the client, wherein the selection is a portion of the set of options, obtaining selected content based on the selection, wherein the selected content is in a source format, converting the selected content from a source format to a target format to obtain target formatted user-specified content, and initiating a transfer of the target-formatted user-specified content to a cloud-based service.