Software Dependency Graph Signaling for Race Condition Prevention
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Solution Overview
Problem
Complex software dependency chains often result in inconsistencies and inefficiencies due to unnecessary data processing and delays, particularly in systems with many changing components, leading to potential race conditions and unresponsive components.
Innovation Solution
A two-phase approach is implemented where a node graph is established for the dependency chain, and all listeners are called only after all nodes have been signaled, ensuring that all listeners receive values based on the same state in the appropriate order, thus maintaining consistency and avoiding unnecessary processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional dependency chains are used with multiple listeners processing values at different rates, then programming flexibility is provided, but race conditions and inconsistencies occur
Solution Approach 1:
The patent applies preliminary action by establishing a node graph data structure that pre-defines the dependency relationships and processing order before values are published. Listeners are registered and ordered in advance, ensuring that when a value changes, the system knows exactly which listeners to notify and in what sequence, preventing race conditions while maintaining programming flexibility.
2Reliability
If frequent refresh rates are encoded into each listener to overcome processing delays, then value consistency is improved, but computational expense increases
Solution Approach 1:
The patent implements periodic action by using event-driven notifications where listeners are only activated when a value actually changes. The node graph tracks which nodes have pending changes and notifies listeners in a controlled sequence only when necessary, rather than continuously refreshing all listeners. This reduces computational expense while maintaining value consistency through targeted, periodic updates.
3Stability of the object's composition
If values are relayed through intermediate nodes in a dependency chain, then all nodes are updated, but unnecessary delays occur for nodes that only need change notifications
Solution Approach 1:
The patent extracts the change notification function from the value relay process. When a source node changes, the system identifies which dependent nodes need to be notified and sends only the necessary information (that a change occurred) rather than relaying the full value chain. This allows end nodes to receive timely notifications without waiting for intermediate processing steps, reducing update delays while maintaining completeness.
4Adaptability or versatility
If multiple listeners process the same value changes differently and at different rates, then individual processing needs are met, but system complexity increases
Solution Approach 1:
The patent segments the dependency chain into a structured node graph where each node represents a component and edges represent dependencies. This segmentation allows the system to manage complexity by breaking down the overall dependency network into manageable units, each with clearly defined relationships. The node graph structure provides a visual and organizational framework that reduces system complexity while preserving individual listener processing capabilities.
Data Source
AI summary
A signaling system of the present invention provides a synchronized approach to delivering, reporting, and/or otherwise processing status changes in a software dependency chain. In a first phase, the signaling system identifies all dependencies between software components, and further sets a binary indicator of each node in a first representation. After identifying any changes in a source node, the system (e.g., a value is updated), the system updates each binary indicator to a second setting. In a second phase, the system initiates all listeners in the dependency chain in an essentially progressive order from source node, to intermediate node, and end-node, etc. Once all listeners have had a chance to perform one or more processes based on the updated value, the system can discard the dependency graph, allowing a new dependency graph to be built for subsequent value changes.