Virtual Machine Backup Agent Dynamic Policy Adaptation
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Solution Overview
Problem
Existing systems for backing up and restoring virtual machines in distributed environments fail to adapt to changes in data importance and security requirements, leading to potential data loss and misappropriation by attackers.
Innovation Solution
A system that automatically detects changes in virtual machine importance through client-applied labels, performs threat analyses, and updates backup and restoration policies to ensure secure and appropriate workflows, dynamically modifying virtual machine-level workflows and storage based on these changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If backup and restoration policies remain static, then system simplicity is maintained, but the system cannot adapt to changing data importance and security requirements
Solution Approach 1:
The patent implements dynamic backup and restoration policies that automatically adjust based on real-time threat analysis results and data importance labels. The system transitions from static policies to dynamic policies that adapt to changing security requirements, resolving the contradiction between adaptability and complexity by making the system responsive to actual conditions rather than requiring manual reconfiguration
Solution Approach 2:
The system incorporates continuous threat analysis that provides feedback on the security state of virtual machines and their data. This feedback loop enables automatic policy updates based on current threats and data importance, allowing the system to adapt without increasing operational complexity for users
2Reliability
If threat analysis is performed continuously on all virtual machines, then security is improved, but system performance and resources are degraded
Solution Approach 1:
The patent applies threat analysis selectively based on data labels indicating importance levels. Instead of uniformly analyzing all virtual machines, the system focuses threat analysis resources on virtual machines containing high-importance data, thereby improving security for critical assets while minimizing performance impact on less critical systems
Solution Approach 2:
The system changes the parameters of threat analysis based on data importance labels and security policies. High-importance data triggers more frequent and thorough analysis, while lower-importance data receives less intensive monitoring, optimizing the balance between security and system performance through parameter adjustment rather than uniform treatment
3Reliability
If backup policies are updated frequently to match changing data importance, then data protection is improved, but system stability and operational consistency are reduced
Solution Approach 1:
The system performs preliminary threat analysis and data importance assessment to establish baseline policies before changes occur. By proactively identifying high-value targets and pre-configuring appropriate protection levels, the system can update policies in response to actual threats rather than requiring frequent reactive changes, maintaining both protection and stability
Data Source
AI summary
A backup agent for facilitating restorations of virtual machines includes a persistent storage and a backup/restoration policy updater. The persistent storage stores backup/restoration policies. The backup/restoration policy updater identifies a change of a label associated with data of a production host and, in response to identifying change in the label, identifies a virtual machine of the virtual machines associated with the data; performs a threat analysis of the identified virtual machine to determine a new security policy for the identified virtual machine; and updates a policy of the backup/restoration policies associated with the identified virtual machine based on the identified new security policy.