Proxy-Based Data Mapping for Application Interoperability
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Solution Overview
Problem
Existing systems face difficulties in enabling interoperability between applications with different type structures, requiring developers to write multiple adapters and perform complex type conversions, which becomes problematic as the number of applications grows and type structures change.
Innovation Solution
Implementing a system that uses proxies to map data from various type structures to a common data structure, allowing applications to interact without prior knowledge of the type structures, using a universal data model that classifies data by 'Atom,' 'Sequence,' or 'Record,' and 'Operation' shapes, facilitating interoperability across different frameworks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If developers write multiple adapters to enable interoperability between applications with different type structures, then adaptability is improved, but device complexity increases
Solution Approach 1:
The patent introduces a universal adapter component that can handle multiple type structure conversions through dynamic proxy generation. Instead of creating separate adapters for each application pair, a single universal adapter uses runtime proxy creation to adapt between any combination of type structures, making the adapter system multi-functional and eliminating the need for numerous specialized adapters.
Solution Approach 2:
The patent employs a central adapter component that acts as an intermediary between applications with different type structures. This mediator receives requests from one application, dynamically generates appropriate proxies to translate the request into the target application's type structure, executes the request, and returns the result. This intermediary approach consolidates multiple adapter functions into a single coordinating component.
2Adaptability or versatility
If developers perform complex type conversions to enable data access between applications, then adaptability is improved, but loss of time increases
Solution Approach 1:
The patent performs type structure analysis and proxy generation in advance during system initialization or first-use scenarios. By pre-analyzing the type structures of applications and generating the necessary proxy mappings beforehand, the system avoids performing complex conversion analysis during actual data access operations, significantly reducing the time penalty for type conversions.
Solution Approach 2:
The patent creates lightweight proxy representations of complex type structures. Instead of performing full type conversions during data access, the system generates simplified proxy objects that mirror the essential structure and behavior of the target type system. These proxies enable rapid data access without requiring complete structural transformation, reducing conversion overhead.
3Reliability
If applications are designed with strong type frameworks for security and stability, then reliability is improved, but adaptability worsens
Solution Approach 1:
The adapter serves as a trusted intermediary that enforces type safety while enabling interoperability. It validates and transforms data between different strong type frameworks, ensuring that the reliability guarantees of each type system are maintained. The adapter acts as a boundary that preserves the integrity of strongly typed applications while facilitating safe communication between them.
Solution Approach 2:
The patent replaces rigid mechanical type matching with dynamic proxy-based adaptation. Instead of requiring applications to conform to fixed type structures, the system uses runtime proxy generation to flexibly adapt between different type systems. This substitution maintains the security and stability of strong typing while removing the rigidity that prevents interoperability.
Data Source
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AI summary
A common data type structure can be used to correlate access requests between applications that implement data in accordance with different types or type structures. In one implementation, a common data structure includes schemes for operations, sequences, records, and atoms (i.e., undefined). The system can then map any type structure to the schemes of the common data structure. In operation, a request for data by an application can involve identifying one or more proxies used by an application to map the data to the common data structure. The proxies map the data to the common data structure based on the shape of the data (to the extent it can be identified). The proxies then can return one or more data structures that comprise the identified mapping information. The application can then perform operations directly on the received data structures.