Unified Message Bus Architecture for Cross-Platform Queue Routing
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Solution Overview
Problem
Modern computing platforms face challenges in efficiently communicating due to incompatible message buses, leading to delayed deployment, increased development and testing efforts, and error-prone custom integrations.
Innovation Solution
A message bus architecture within computing platforms that employs flexible queuing mechanisms, allowing messages to be transmitted and received with a common format, and facilitates remapping of message content classes, reducing unnecessary processing and resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If custom integrations are implemented between incompatible message buses, then inter-platform communication can be established, but deployment time increases and development complexity increases
Solution Approach 1:
The patent introduces a universal adapter as an intermediary component that sits between different message bus architectures. This adapter translates between proprietary message bus formats and a common unified format, enabling communication between incompatible platforms without requiring custom point-to-point integrations. The adapter acts as a mediator that resolves format incompatibilities automatically.
Solution Approach 2:
The patent creates a universal message bus architecture that can interface with multiple different message bus types through standardized adapters. Instead of building custom integrations for each platform pair, the system uses a universal adapter framework that handles translation between any combination of message buses, making the system multi-functional and platform-agnostic.
2Adaptability or versatility
If custom integrations are implemented between incompatible message buses, then inter-platform communication can be established, but development and testing efforts increase
Solution Approach 1:
The universal adapter serves as a standardized intermediary that handles all format translation work. Developers don't need to write custom translation logic for each platform combination; instead, they simply configure the adapter with the appropriate message bus types, reducing both development and testing complexity significantly.
Solution Approach 2:
The system manages complexity by changing parameters (message bus types, formats, protocols) through configuration rather than code. The adapter can be configured to handle different message bus architectures by adjusting parameters like data formats, authentication methods, and routing rules, eliminating the need for complex custom integration code.
3Adaptability or versatility
If custom integrations are implemented between incompatible message buses, then inter-platform communication can be established, but the integrations become error prone
Solution Approach 1:
The universal adapter provides a reliable intermediary layer that handles all protocol translation and format conversion. This centralized approach eliminates the distributed complexity of custom point-to-point integrations, making error detection and debugging easier while improving overall reliability through consistent, tested translation logic.
4Reliability
If all messages are transmitted to all recipient computing platforms, then complete information delivery is ensured, but computing resource utilization increases
Solution Approach 1:
The system implements local quality by filtering messages at the source based on the specific needs of each recipient platform. Instead of broadcasting all messages to everyone, the adapter selectively translates and forwards only the relevant message types to each platform, optimizing resource utilization while maintaining delivery completeness for intended recipients.
Solution Approach 2:
The adapter performs preliminary filtering and classification of messages before translation and transmission. By analyzing message content and recipient requirements in advance, the system can pre-determine which messages should be forwarded to which platforms, avoiding unnecessary processing and transmission of irrelevant messages.
Data Source
AI summary
An example implementation may involve: based on a message class relating to an event, writing a representation of the event to a message queue associated with the message class; reading, by a message scheduler and in accordance with a schedule, the representation of the event from the message queue; constructing a message payload, wherein the message payload includes at least part of the representation of the event and is in a unified format that supports a plurality of message structures; based on the message payload, selecting a communication endpoint for the message payload; and transmitting the message payload to the communication endpoint.


