Automated Computing Environment Migration via Component Mapping
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Solution Overview
Problem
Organizations face challenges in migrating their computing environments from a source platform to a target low code/no code platform due to the absence of effective migration solutions, differences in platform features and architecture, and the need for manual efforts that are cumbersome and not practically feasible.
Innovation Solution
A method and system for migrating a computing environment from a first platform to a second platform, involving the identification and comparison of components, mapping of components between the two platforms, introduction of components into the second platform, updating interfaces for interaction with entities, and enriching components using a trained model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual migration methods are used to migrate computing environment from source platform to target platform, then migration can be performed with existing tools, but the process becomes cumbersome and not practically feasible
Solution Approach 1:
The patent introduces a migration tool as an intermediary system that automatically maps components between source and target platforms. This mediator handles the complexity of platform differences internally while presenting a simple automated migration interface to users, resolving the contradiction between automation extent and solution complexity.
Solution Approach 2:
The migration tool creates a mapping model that copies component relationships and dependencies from the source platform to the target platform. By replicating the structural information and using automated transformation rules, the system achieves high automation without requiring complex manual configuration, thus resolving the technical contradiction.
2Measurement precision
If comprehensive migration solution is developed to handle differences in features and architecture between platforms, then migration accuracy is improved, but the solution becomes difficult to develop and implement
Solution Approach 1:
The patent segments the migration solution into distinct modules: component identification, comparison, mapping, and transformation. Each module handles specific aspects of platform differences independently, improving mapping precision through specialized processing while making the overall solution easier to develop and maintain through modular architecture.
Solution Approach 2:
The migration tool is designed as a universal platform that can handle multiple source and target platform combinations through a common mapping framework. This multi-functional approach allows the system to achieve high precision across different platform pairs without requiring separate custom solutions for each combination, thereby improving ease of development.
3Productivity
If separate workflow migration is performed for each workflow, then migration accuracy for individual workflows is maintained, but the overall migration process becomes time-consuming and dependent on data volume
Solution Approach 1:
The patent merges multiple workflow migrations into a single automated process by establishing a global component mapping between source and target platforms. Once the mapping is created, multiple workflows can be migrated simultaneously using the same mapping rules, dramatically improving productivity while maintaining accuracy through consistent application of the mapping model across all workflows.
Solution Approach 2:
The migration tool performs preliminary action by pre-establishing the component mapping and dependency relationships before migrating individual workflows. This preliminary mapping phase captures the structural information once, and then all subsequent workflow migrations reuse this mapping, achieving both high speed and high accuracy without repeating the analysis work for each workflow.
Data Source
AI summary
A method and a system for migrating a computing environment from a first platform to a second platform are disclosed. The method includes identifying a first set of components associated with the first platform and a second set of components associated with the second platform. The method further includes comparing the first set of components with the second set of components. Further, the method includes mapping the first set of components with the second set of components based on the comparison. The method further includes introducing the first set of components in the second platform based on the mapping. Further, the method includes updating at least one interface associated with the second platform for interaction with at least one entity. Thereafter, the method includes enriching, using a trained model, the second set of components associated with the second platform.