Backup Data Discrimination via Lifecycle Policy Metadata
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Solution Overview
Problem
Computing devices face data loss due to persistent storage failures, and existing data protection methods are inefficient in managing and searching personal information within backups, particularly in distributed systems where regulatory compliance and storage resource optimization are challenges.
Innovation Solution
A system that includes a remote agent and backup orchestrator, which instantiates a backup agent to generate and store backups with metadata associating personal information, using lifecycle policies to ensure compliance and efficient storage and search capabilities across multiple computing devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If backups store all data without personal information discrimination, then data protection is comprehensive, but storage resources are wasted and search efficiency decreases
Solution Approach 1:
The backup data is segmented into personal information portions and non-personal information portions based on lifecycle policy indicators. This segmentation allows the system to store only necessary data portions, reducing storage resource consumption while maintaining comprehensive protection for personal information as required by regulations.
Solution Approach 2:
Different storage strategies are applied to different portions of backup data based on their classification. Personal information portions are stored with higher redundancy and protection levels, while non-personal portions use standard storage. This local quality approach optimizes storage resource allocation while ensuring regulatory compliance.
2Reliability
If backups include detailed personal information metadata, then regulatory compliance improves, but computational load on backup storage increases
Solution Approach 1:
The backup agent performs preliminary classification of backup data into personal and non-personal information portions before data is stored in backup storage. Lifecycle policy indicators are generated in advance to mark personal information portions. This preliminary action eliminates the need for computationally intensive scanning and analysis operations during backup storage operations, reducing computational load while ensuring regulatory compliance.
3Productivity
If personal information is identified and marked in backup data, then search efficiency improves, but data processing complexity increases
Solution Approach 1:
The system uses lifecycle policy indicators as markers to identify and distinguish personal information portions within backup data. These indicators act as metadata tags that enable efficient searching and retrieval without requiring complex analysis of the actual data content. The indicators provide a simple, standardized mechanism for search optimization.
Data Source
AI summary
A remote agent for providing data protection services includes persistent storage and a backup orchestrator. The persistent storage stores lifecycle policies. The backup orchestrator instantiates a backup agent in a client in response to a backup generation for the client, the backup generation is specified by the lifecycle policies; using the backup agent: generating a backup including backup data for the client and backup metadata that associates portions of the backup data with respective persons; and storing the backup in backup storage based on the lifecycle policies.