VDI Backup Validation System Integrity
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Solution Overview
Problem
In virtual desktop infrastructure (VDI) systems, backup images are often corrupted, necessitating a mechanism to validate their integrity and accuracy.
Innovation Solution
A backup system that obtains a first backup image of a VDI system, initiates a validation process against predefined constraints, such as checksums and age thresholds, and alerts administrators when validation fails, ensuring the integrity and accuracy of the backup images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If backup images are stored without validation, then storage efficiency is improved, but data integrity deteriorates due to corruption
Solution Approach 1:
The patent applies preliminary action by performing validation checks on backup images immediately after they are created or received, before they are archived or used. The validation process verifies checksums and checks for corruption markers proactively, ensuring data integrity is confirmed before the backup is considered complete and reliable.
Solution Approach 2:
The patent implements feedback mechanisms where validation results are continuously monitored and reported. When validation fails or corruption is detected, the system generates alerts and notifications to administrators, creating a closed-loop feedback system that ensures data integrity issues are promptly identified and addressed.
2Reliability
If validation processes are implemented on all backup images, then data integrity is improved, but processing time increases
Solution Approach 1:
The patent applies partial action by implementing selective validation strategies where not every backup image undergoes the same level of validation. Quick validation checks (such as checksum verification) are performed on all backups, while more intensive validation is applied only when anomalies are detected or based on risk assessment, reducing overall processing time while maintaining reliability.
Solution Approach 2:
The validation process is segmented into multiple stages: initial quick validation (checksum verification), intermediate validation (sampling checks), and comprehensive validation (full integrity verification). This segmentation allows the system to process backups efficiently through quick checks while reserving more time-consuming validation methods for cases where they are truly needed.
3Measurement precision
If corruption detection mechanisms are added, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent introduces intermediary validation components that act as mediators between the backup storage system and the management interface. These intermediaries handle the complex validation logic, checksum calculations, and corruption detection algorithms, shielding the rest of the system from complexity while maintaining high measurement precision in corruption detection.
Solution Approach 2:
The validation system is designed to be self-service where possible, with automated validation processes that execute without manual intervention. The system self-manages validation scheduling, result interpretation, and alert generation, reducing the operational complexity burden on users while maintaining sophisticated corruption detection capabilities.
Data Source
AI summary
In an aspect of the disclosure, a method, a computer-readable medium, and a backup system are provided. The backup system obtains a first backup image of a first virtual desktop image of a VDI system. The backup system initiates a first validation of the first backup image against one or more constraints of the first backup image. The backup system initiates an alert procedure when the first validation has failed.