Monolith Application Migration Scoring for Weighted Approach Selection
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Solution Overview
Problem
Existing techniques lack a defined method to automatically identify the characteristics of monolith applications for cloud migration, considering conflicting interdependencies and business continuity with minimal downtime, complexity, cost, and time factors.
Innovation Solution
A method and system for identifying a migration approach for monolith applications by obtaining characteristic values, determining consolidated values with weightage, calculating migration scores, and selecting the best approach based on affinity-priority and affinity-weightage values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated identification method is implemented, then migration approach selection efficiency is improved, but system complexity increases
Solution Approach 1:
The system segments the migration assessment into distinct modules: characteristic value collection, consolidated characteristic calculation, affinity-priority weighting, and migration approach scoring. Each module processes specific parameters independently before integrating results, making the complex automated system manageable through modular architecture
Solution Approach 2:
The patent introduces intermediary calculation layers including consolidated characteristic values and affinity-priority weights that mediate between raw application parameters and final migration approach selection. These intermediaries simplify the decision-making process by aggregating and weighting multiple factors before generating recommendations
2Measurement precision
If multiple migration approaches are evaluated with multiple factors, then migration decision accuracy is improved, but time consumption increases
Solution Approach 1:
The system performs preliminary calculations of consolidated characteristic values and affinity-priority weights before evaluating specific migration approaches. By pre-computing these intermediate results, the actual migration approach evaluation process is accelerated while maintaining comprehensive multi-factor analysis
Solution Approach 2:
The patent transforms multiple qualitative parameters into quantitative consolidated characteristic values through standardized weighting and aggregation formulas. This parameter transformation enables efficient computational evaluation of multiple migration approaches without manual analysis, reducing time while improving decision accuracy
3Ease of manufacture
If application characteristics are analyzed in detail, then migration strategy optimization is improved, but migration complexity increases
Solution Approach 1:
The system extracts and isolates specific application characteristics (parameters) from the overall application system, evaluating each independently through consolidated characteristic calculations. By taking out individual characteristics for targeted analysis, the system optimizes migration strategy for each aspect while managing overall complexity through structured decomposition
Data Source
AI summary
The disclosure relates to a method and system of identifying migration approach for a monolith application is disclosed. The method includes obtaining a set of characteristic values corresponding to an associated parameters value, and determining a consolidated characteristic value, by combining a plurality of characteristic values corresponding to the plurality of parameters along with a corresponding respective weightage. The method further includes obtaining an associated affinity-priority value and an associated affinity-weightage value corresponding to an associated parameters value, and calculating a migration score based on the consolidated characteristic value, the associated priority value, and associated affinity weightage value, and selecting a relevant migration approach from the set of migration approaches, based on the migration score for each of the set of migration approaches.