Binary Data Model Compiler for Protocol Translation
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Solution Overview
Problem
Existing methods for generating source code from binary communication protocols, data storage formats, and processing architectures are inefficient due to imperfect and complex descriptions, requiring manual development and being language-dependent, platform-dependent, and non-extensible.
Innovation Solution
A generic binary data model compiler that creates platform-independent, language-independent, and extensible models for binary communication protocols, data storage formats, and processing architectures, reducing the need for declarative languages and manual translations by providing an independent intermediate representation for common analysis and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual development and language-specific definitions are used to generate source code from binary communication protocols, then language-dependent and platform-dependent code can be produced, but the process becomes inefficient, complex, and non-extensible
Solution Approach 1:
The patent introduces an intermediate representation (IR) as a mediator between binary communication protocols and target programming languages. The compiler translates binary protocols into this language-neutral IR format, which then serves as the basis for generating source code in any desired programming language. This intermediary layer eliminates the need for direct, complex language-specific translations and enables efficient, extensible code generation across multiple languages.
Solution Approach 2:
The intermediate representation serves multiple functions: it acts as a common denominator for different binary protocols, a translation bridge to various programming languages, and a basis for code optimization. This universal IR format enables the compiler to handle diverse protocols and generate code for multiple languages using a single, unified translation mechanism, greatly improving ease of manufacture and extensibility.
2Adaptability or versatility
If declarative languages and manual translations are required for binary data processing, then language-specific implementations can be created, but processing speed and accuracy are reduced
Solution Approach 1:
The patent replaces manual, mechanical translation processes with an automated compiler system that mechanically transforms binary protocols into executable source code. The compiler automatically parses binary protocol definitions, translates them into the intermediate representation, and generates optimized source code in the target programming language. This automation eliminates errors associated with manual translation and significantly improves processing speed and accuracy while maintaining language independence.
3Adaptability or versatility
If existing compiler architectures with multiple input drivers are used, then multiple programming languages can be supported, but the system becomes less flexible and more complex
Solution Approach 1:
Instead of having multiple input drivers that each parse different programming languages into a common representation (the traditional approach), this patent inverts the process by having a single input driver that parses binary communication protocols into an intermediate representation, which then serves as the source for generating multiple target programming languages. This inversion simplifies the architecture by eliminating the need for multiple language-specific parsers while maintaining multi-language output capability.
Data Source
AI summary
An extensible binary data model compiler is described. A receiver may receive binary specifications, binary data models and/or binary descriptions which are design documents, programming language source files, and/or interface description language definitions that describe, specify and/or model a binary communication protocol, binary data storage format, or binary data processing architecture. A categorizer may distribute binary descriptions to a respective loader, binary specifications to a respective compiler, and/or binary data models to a respective reader. Binary descriptions are normalized and compiled into generic binary models. Binary specifications are compiled into generic binary data models. A reader may read an existing binary data model. A resolver may generate a generic binary data model address for each generic binary data model element within a generic binary data model. A generic binary data model is an independent intermediate representation enabling shared analysis and operations.


