Cloud Resource Migration via Recursive Discovery Maps
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Solution Overview
Problem
Current cloud migration tools lack essential functionalities and are often not compatible with various cloud service providers, leading to issues such as high IT expenditures, low functionality, and service level agreement violations due to unplanned server outages, necessitating a more efficient and flexible migration solution.
Innovation Solution
An automated, iterative, and recursive intelligent discovery system that generates a migration map with complexity indicators, utilizing declarative languages like semantic technologies to model migrations abstractly, allowing seamless transitions across different cloud types and service providers, reducing manual labor and errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional cloud migration tools are used, then basic migration functionality is provided, but compatibility with various cloud service providers is poor and manual labor is high
Solution Approach 1:
The patent implements a universal migration platform that supports multiple cloud service providers (AWS, Azure, GCP, OpenStack) through a common architecture. The system uses standardized APIs and abstraction layers to enable cross-cloud migration capabilities without requiring provider-specific tools for each migration scenario.
Solution Approach 2:
The patent introduces an intermediary migration management system that sits between the source and destination cloud environments. This intermediary handles the complexity of cross-provider migrations by translating between different cloud APIs and providing a unified migration interface, reducing the need for specialized tools for each cloud provider combination.
2Productivity
If manual migration processes are used, then flexibility is maintained, but errors and time consumption increase
Solution Approach 1:
The patent implements self-service automation where the migration system automatically discovers resources, assesses dependencies, generates migration plans, and executes migrations without requiring manual intervention for each step. The system includes automated validation and error correction capabilities that maintain reliability while increasing speed.
Solution Approach 2:
The patent incorporates feedback mechanisms throughout the migration process, including automated validation of migration readiness, real-time monitoring during migration execution, and post-migration verification. This feedback loop ensures accuracy while maintaining high speed through automated correction of issues before they propagate.
3Measurement precision
If comprehensive migration assessment is performed, then migration accuracy is improved, but analysis time and computational resources increase
Solution Approach 1:
The patent performs preliminary actions by conducting resource discovery and dependency assessment before formal migration planning. The system proactively identifies all cloud resources, their interdependencies, and potential migration challenges in advance, creating a comprehensive baseline that speeds up subsequent migration execution while maintaining accuracy.
Solution Approach 2:
The patent segments the migration assessment process into distinct phases: resource discovery, dependency analysis, migration planning, and validation. Each phase can be executed independently and in parallel where possible, reducing overall analysis time while maintaining comprehensive coverage through structured segmentation of the assessment workflow.
Data Source
AI summary
First resources of a first cloud, a first dependency between the first resources, and second resources of a second cloud may be automatically discovered. Second resources of a second cloud may be discovered. A migration map between the first cloud and the second cloud may be generated based on the discovered first and second resources. The migration map may be recursively modified to increase accuracy of the migration map. The first resources may be migrated to the second cloud based on the modified migration map.


