Payload Schema Translation for Evolving Network Compatibility
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Solution Overview
Problem
Conventional networking systems are inefficient, inflexible, and lack cybersecurity protections, requiring frequent reprogramming for updates and indiscriminately passing sensitive data, leading to resource waste and security risks.
Innovation Solution
A schema modification system that generates and updates payload schemas to translate digital payloads between components, using a payload conversion code generator and schema annotations to maintain compatibility and secure data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional systems use hardcoded reprogramming for each subsystem update, then data compatibility between subsystems is maintained, but computing resources (processing power and memory) are wasted
Solution Approach 1:
The patent introduces a schema evolution system as an intermediary layer between subsystems. This system automatically generates and manages payload schema translations, acting as a mediator that converts data between different subsystem formats without requiring direct reprogramming of each subsystem. The schema evolution framework maintains data compatibility while avoiding the resource waste of hardcoded reprogramming.
Solution Approach 2:
The system implements self-service through automatic schema evolution. When a subsystem updates its data format, the schema evolution system automatically detects the change, generates the necessary translation schemas, and applies them across the network. This eliminates the need for manual reprogramming of other subsystems, allowing the system to maintain compatibility autonomously without consuming additional computing resources.
2Ease of operation
If networking systems pass data in a data agnostic fashion, then data transmission is simple, but sensitive data security is compromised
Solution Approach 1:
The patent applies local quality by treating different types of data differently based on their sensitivity. The schema system includes annotations that identify sensitive data fields, allowing the system to apply specific security treatments (such as encryption or access control) only to those fields while leaving non-sensitive data transmission simple and unmodified. This selective approach maintains ease of operation for general data while protecting sensitive information.
Solution Approach 2:
The system implements preliminary anti-action by proactively identifying and protecting sensitive data before transmission occurs. The schema evolution framework includes mechanisms to detect sensitive data fields in advance and apply appropriate security measures (such as masking, encryption, or access restrictions) before the data leaves the system. This prevents potential security breaches rather than reacting to them after occurrence.
3Stability of the object's composition
If subsystems are rigidly fixed to hardcoded payload formats, then data format consistency is maintained, but system flexibility and adaptability are reduced
Solution Approach 1:
The patent implements dynamics by making the payload format system adaptable and flexible. Instead of rigid hardcoded formats, the system uses evolvable schemas that can automatically adjust to format changes in subsystems. The schema evolution mechanism allows data formats to dynamically adapt when subsystems update, maintaining consistency through automated translation rather than fixed constraints. This enables the system to be both stable in its data handling and flexible in accommodating changes.
Solution Approach 2:
The schema evolution system provides universality by creating a common framework that can handle multiple data formats and subsystem types. Rather than requiring each subsystem to be rigidly fixed to a specific format, the universal schema system can translate between various formats, allowing different subsystems with different payload structures to communicate effectively. This multi-functional approach maintains format consistency while enabling broad adaptability across diverse components.
Data Source
AI summary
This disclosure describes a schema modification system that, as part of an inter-network facilitation system, can intelligently generate and update payload schemas for maintaining compatibility across changing network components. For example, the disclosed systems utilize custom tooling to detect changes in component versions and to update payload schemas to translate digital payloads between components that require different payload formats (e.g., due to an update to one component or another). In some cases, the disclosed systems can utilize a code generator to generate a payload conversion code from a payload schema and can implement the payload conversion code to convert a digital payload from a source format to a target format (e.g., to pass from a source component to a target component). The disclosed systems can also utilize schema annotations that accompany a payload schema to perform various functions, including removing sensitive information and identifying third-party systems.