Checksum Cataloging for Large-File Integrity Verification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional methods for ensuring data integrity and long-term archival of digital information fail to function effectively as long-term data integrity tools, are not optimized for large data sets or enterprise-grade solutions, and do not handle multiple files, catalog data integrity, or provide scheduled routine checks.
Innovation Solution
A software system that performs automated checksum checks, breaking files into chunks based on processor cache sizes, generating and combining checksum results, and scheduling routine checks for data integrity cataloging and alert generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional checksum methods are used, then data integrity verification is achieved, but the system cannot handle large files and data sets efficiently
Solution Approach 1:
The patent divides large files into smaller chunks or blocks, computing checksums for each chunk separately. This segmentation allows the system to process large files efficiently by working with manageable portions while maintaining overall data integrity verification through combination of chunk checksums.
2Reliability
If conventional checksum methods are used, then single-file verification is possible, but the system cannot catalog multiple files or provide scheduled routine checks
Solution Approach 1:
The patent creates a universal checksum system that can handle multiple file types, sizes, and formats through a standardized interface. The system provides multi-functionality by combining checksum computation, cataloging, scheduling, and alerting capabilities into a single enterprise-grade platform that works across diverse data sets.
Solution Approach 2:
The system implements automated scheduling and routine checksum verification that operates independently without manual intervention. The self-service capability includes automatic cataloging of results, generation of alerts when integrity issues are detected, and continuous monitoring of multiple files according to predefined schedules.
3Reliability
If conventional checksum methods are used, then basic verification is achieved, but the system lacks readable interface and cataloging functionality
Solution Approach 1:
The patent introduces an intermediary cataloging layer between the checksum computation engine and the user interface. This intermediary component stores verification results in a structured format, enabling easy retrieval, reporting, and analysis while maintaining the accuracy of the underlying checksum verification process.
Data Source
AI summary
A method of cataloging data integrity is herein disclosed. In certain embodiments, the method includes performing a checksum check. The checksum check is performed by selecting a file that includes a first checksum result, selecting a checksum type, determining a processor L1, L2, and L3 cache size, storing the cache size in a variable, breaking the file into a plurality of chunks based on the variable, generating a checksum result for each chunk, storing each checksum result in the variable, and combining the checksum results to return a second checksum result.