Graph-Based In-Situ Messaging for Low-Latency Module Communication
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Solution Overview
Problem
Traditional communication methods among modules in systems like home security, robotics, and industrial processes face issues such as channel overload, latency, and network dependence, leading to inefficient message delivery and failure detection.
Innovation Solution
The implementation of an executable graph-based model that facilitates in-situ messaging through customizable hypergraphs with publisher and handler overlay nodes, allowing for parallel message processing and reduced latency by managing messages at the node level.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional communication channels are used to connect modules, then modules can communicate with each other, but the communication channel becomes overloaded and latency increases due to the large number of communicating modules
Solution Approach 1:
The system segments the communication architecture by introducing hierarchical levels (global level and local level) and spatial zones (inside and outside the executable graph-based model). Messages are routed through different paths based on their destination, with local messages processed within the model and remote messages sent through the communication channel. This segmentation reduces the load on any single communication path and enables parallel processing of multiple messages.
2Reliability
If traditional communication channels are used to connect modules, then modules can communicate with each other, but the complex architecture of the communication channel results in latency in the delivery of messages
Solution Approach 1:
The system introduces intermediary components including the overlay system, message management module, and event loop as mediators between communicating modules. These intermediaries manage message routing, processing, and delivery, abstracting the complexity from the communicating modules themselves. The message management module specifically handles the complexity of message queuing, prioritization, and delivery confirmation, while the event loop coordinates execution across multiple threads.
3Reliability
If traditional communication channels are used to connect modules, then modules can communicate with each other, but the communication channel becomes overloaded
Solution Approach 1:
The system segments the message flow by creating separate processing queues and threads for different message types and priorities. The message management module divides incoming messages into different categories and routes them through appropriate processing paths, preventing any single queue from becoming overloaded. This segmentation allows the system to handle high volumes of messages by distributing the load across multiple parallel processing channels.
4Reliability
If traditional communication channels are used to connect modules, then modules can communicate with each other, but the communication channel depends on network availability
Solution Approach 1:
The system implements beforehand cushioning by introducing message queuing and buffering mechanisms that allow messages to be stored and forwarded when network conditions are favorable. The message management module maintains queues of pending messages that can be delivered when network availability improves, providing a buffer against network unavailability. This cushioning mechanism ensures that communication reliability is maintained even when network conditions are poor or temporarily unavailable.
Data Source
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AI summary
An overlay system is provided that includes a storage element and processing circuitry. The storage element stores an executable graph-based model that includes various executable nodes. Each executable node includes a base node and a set of handler overlay nodes. Each handler overlay node subscribes to messages mapped to the corresponding executable node and processes the messages in conjunction with the corresponding base node. The processing circuitry receives a contextualized stimulus associated with the overlay system and executes an operation associated with the stimulus using one or more handler overlay nodes that are mapped to the stimulus, and one or more base nodes that are associated with the one or more handler overlay nodes, respectively.