Messaging Framework for Decoupled Software Component Communication
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Solution Overview
Problem
Modern software systems face challenges in accurately and timely transferring data between different components, leading to potential errors due to the lack of efficient communication mechanisms.
Innovation Solution
The system employs a run engine with component adapters that translate outputs from building block components into messages receivable by other components, allowing for independent operation and coordination through a messaging framework, including customizable logic and channel selection for message transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If direct data transfer between software components is implemented, then communication speed is improved, but system reliability deteriorates due to errors and tight coupling
Solution Approach 1:
The patent introduces a message queue as an intermediary component between software components. Messages are published to the queue and consumed by subscribers, eliminating direct component-to-component data transfer. This mediator pattern preserves communication speed while improving reliability by decoupling components and providing a standardized message passing mechanism that handles data transfer errors and coordination.
2Adaptability or versatility
If components are made independent and ignorant of each other, then system maintainability and adaptability are improved, but communication coordination becomes more complex
Solution Approach 1:
The message queue serves as a universal communication infrastructure that handles multiple functions: data transfer, event notification, component coordination, and state management. This single multi-functional mechanism enables component independence while managing communication complexity centrally, allowing components to interact through a standardized interface without needing to understand each other's internal processes.
Solution Approach 2:
The message queue acts as a mediator that manages the complexity of communication between independent components. Instead of components directly coordinating with each other (which would require complex point-to-point logic), the queue centralizes communication management, simplifying the interaction model while maintaining component independence and adaptability.
3Measurement precision
If centralized state management is implemented, then data accuracy is improved, but system complexity increases
Solution Approach 1:
The message queue serves as a centralized state management intermediary where all component states and data are published as messages. This ensures data accuracy by providing a single source of truth that all components can subscribe to, while managing complexity by using a standardized publish-subscribe model rather than complex direct state sharing between components.
Solution Approach 2:
The message queue implements feedback mechanisms where components publish their state changes and receive confirmations or related updates from other components. This feedback loop ensures data accuracy by verifying state transitions while managing complexity through automated message routing and acknowledgment protocols.
Data Source
AI summary
A device may execute a function, by at least one of a multitude of building block components. The device may transmit, by a run engine responsive to the function, one or more messages that are generated by at least one of a multitude of adaptors. The device may receive the message by at least one of the multitude of adaptors. The device may execute a function of at least one of a multitude of building block components responsive to receiving the message, the multitude of building block components, comprising one or more functions, are ignorant of other building block components.