Schema-less Middleware Parser for Heterogeneous System Integration
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Solution Overview
Problem
Large enterprises face significant resource challenges in creating and maintaining custom middleware to interface and communicate between disparate computer systems and applications that use different languages and protocols, requiring extensive manual effort and leading to programming bugs and slow updates.
Innovation Solution
A schema-less middleware method and system, referred to as Polyglot, automatically generates and updates middleware code by parsing commands and responses without individualized logic, using a domain-specific language and Java code generator to unify API consumption and handle various response formats, reducing the need for custom code and minimizing errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If custom middleware is manually created and maintained for each different system and application, then individualized interface logic can be provided, but resource consumption and development time increase significantly
Solution Approach 1:
The system performs self-service by automatically generating middleware code through parsing system output objects and applying grammar rules, eliminating the need for manual programming of individualized interface logic while maintaining adaptability to different systems and applications
Solution Approach 2:
The invention changes the parameter of middleware creation from manual programming to automated generation through parameter-driven parsing and grammar application, transforming the development process into a configurable rather than hard-coded approach
2Adaptability or versatility
If custom middleware is manually created and maintained for each different system and application, then individualized interface logic can be provided, but resource consumption increases
Solution Approach 1:
The system performs self-service by automatically generating middleware code through parsing system output objects and applying grammar rules, eliminating the need for manual programming of individualized interface logic while maintaining adaptability to different systems and applications
Solution Approach 2:
The invention uses copying by generating middleware code templates automatically from parsed system output objects, creating reusable interface logic that can be applied across multiple systems and applications without manual recreation
3Adaptability or versatility
If middleware is rewritten to accommodate software upgrades, then compatibility with new systems is achieved, but programming bugs are introduced and correction requires significant effort
Solution Approach 1:
The system performs self-service by automatically regenerating middleware code through parsing updated system output objects, ensuring compatibility with new software versions while eliminating manual programming errors that introduce bugs
Solution Approach 2:
The invention implements feedback by continuously parsing system output objects and using the parsed information to regenerate middleware code, creating a closed-loop system that automatically adapts to system changes and maintains reliability
4Adaptability or versatility
If extensive manual effort is used to create and maintain middleware, then individualized logic for each system can be implemented, but time and effort required increase
Solution Approach 1:
The system performs self-service by automatically generating middleware code through parsing system output objects and applying grammar rules, eliminating the need for manual programming of individualized interface logic while maintaining adaptability to different systems and applications
Solution Approach 2:
The invention uses copying by generating middleware code templates automatically from parsed system output objects, creating reusable interface logic that can be applied across multiple systems and applications without manual recreation
Data Source
AI summary
A schema-less system output object parser and code generation process analyzes an instance of a response object from a system, such as a storage array, having components of multiple different types, formats and communications protocols, and automatically generates middleware Java source code to translate and communicate requests and responses between the different components and client applications. Output response objects responding to application requests are annotated and parsed, and data structures are created and initialized with keys and key value variables to generate source code to handle live data.