Automated Software Migration via Fingerprint Detection
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Solution Overview
Problem
Migrating data between computing environments is a complex and time-consuming process that often results in errors due to manual identification and configuration, as existing methods rely on incomplete information and require significant manual labor.
Innovation Solution
Automated migration software that uses software and setting identification modules with fingerprints to detect and deploy software components and system settings between environments, reducing human intervention and increasing accuracy by analyzing computing resources and generating scores to determine presence or absence of components and settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual identification and configuration methods are used for migration, then flexibility and adaptability are maintained, but the process becomes complex and time-consuming with increased error rates
Solution Approach 1:
The migration system performs self-identification of software components and system settings through automated fingerprint detection. The system autonomously analyzes the source computing environment, identifies components and configurations, and transfers them to the target environment without requiring manual intervention for each item, thereby reducing migration time while maintaining accuracy
Solution Approach 2:
The patent replaces manual mechanical operations with automated software-based detection and identification systems. Fingerprint analysis algorithms automatically detect software components and system settings, substituting the manual identification process with computational methods that are both faster and more accurate
2Reliability
If manual identification methods are used, then human judgment can be applied, but the process is error-prone due to incomplete information from traditional sources
Solution Approach 1:
The fingerprint detection system serves multiple functions: it identifies software components, detects system settings, and validates their presence across different computing environments. This universal approach consolidates multiple identification tasks into a single robust mechanism, improving reliability without proportionally increasing complexity
Solution Approach 2:
The system employs feedback mechanisms where fingerprint detection results are continuously validated and cross-checked. The automated identification process provides feedback loops that verify the accuracy of detected components and settings, ensuring high reliability by detecting and correcting potential errors during the migration process
3Loss of information
If comprehensive software component identification is performed, then migration completeness improves, but the detection and measurement process becomes more difficult and complex
Solution Approach 1:
The patent creates fingerprint copies or representations of software components and system settings that can be easily detected and compared. Instead of directly analyzing complex software structures, the system uses fingerprint copies that capture essential identification information, making detection simpler while maintaining completeness
Solution Approach 2:
The identification process is segmented into discrete fingerprint detection units, each targeting specific software components or settings. This segmentation breaks down the complex detection task into manageable segments that can be systematically processed, reducing the overall difficulty while ensuring comprehensive coverage
Data Source
AI summary
Software and system settings can be migrated between computing environments. In one example, a system can receive a group of software identification modules defining a group of software fingerprints for detecting a group of software components. Each software identification module can include a respective software fingerprint for detecting a respective software component. The system can determine that a source computing environment includes one or more software components from within the group of software components by analyzing the source computing environment using each respective software fingerprint in the group of software fingerprints. The system may then deploy the one or more software components in a target computing environment.