Subscription Data Messaging for Real-Time Trading Updates
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Solution Overview
Problem
Existing subscription management systems face significant processing burdens, bandwidth usage, and memory consumption due to the need for real-time dissemination of large volumes of trading information, particularly in financial instrument trading, leading to inefficiencies and high resource utilization.
Innovation Solution
A subscription management system utilizing a user interface (UI) message framework that minimizes transmission size and frequency by using JSON messages with byte arrays and numeric values, generating thread-safe messages based on change rates of subscribed subjects, and transmitting only updated data as needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time data dissemination is implemented for all subscribed subjects, then data freshness and reliability are improved, but network bandwidth consumption and processing resources increase significantly
Solution Approach 1:
The system segments data transmission by separating static data (displayed once) from dynamic data (updated in real-time). The UI message structure divides subject data into initial display data and subsequent update data, allowing selective transmission based on change detection. This segmentation enables real-time updates only when necessary, reducing bandwidth consumption while maintaining data freshness for critical subjects.
Solution Approach 2:
The system implements feedback mechanisms where clients send unsubscribe requests when no longer needing specific subject data, and the server responds by removing those subscriptions. Change detection feedback allows the system to identify when data has been modified and trigger updates only for affected subjects. This feedback loop ensures reliable data delivery while minimizing unnecessary transmissions.
2Loss of information
If comprehensive real-time updates are provided for all subscription subjects, then information completeness is improved, but processing resources and memory usage increase
Solution Approach 1:
The system extracts and transmits only the necessary data elements required for the client subscription, removing redundant information from the transmission stream. By filtering data based on subscription preferences and change detection, the system maintains information completeness for subscribed subjects while significantly reducing processing resources compared to comprehensive updates of all available data.
Solution Approach 2:
The system applies partial action by providing real-time updates only for subjects that have changed or are specifically subscribed to, rather than continuously updating all possible subjects. The UI message framework transmits minimal necessary data (byte arrays with numeric values) rather than complete data structures, reducing processing overhead while maintaining sufficient information for client display.
3Speed
If frequent data transmissions are performed to ensure real-time updates, then data timeliness is improved, but network bandwidth and transmission overhead increase
Solution Approach 1:
The system implements periodic action through change-rate-based update mechanisms where data is transmitted at appropriate intervals or only when changes occur. The UI message framework supports different update frequencies for different subjects based on their volatility and subscription requirements, enabling timely updates without constant transmission. This periodic approach maintains data timeliness while significantly reducing transmission volume compared to continuous updates.
Solution Approach 2:
The system uses efficient data representation by copying only essential data elements into compact UI messages with byte arrays and numeric values. This copying approach transmits minimal necessary information rather than complete data structures, reducing transmission overhead while maintaining data timeliness for real-time display requirements.
4Measurement precision
If detailed data processing is performed for each subscription item, then data accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The system changes data representation parameters by converting complex data structures into compact byte arrays with numeric values for transmission. This parameter transformation maintains data accuracy through precise serialization while significantly reducing processing time for transmission and display. The UI message framework optimizes data formatting to balance accuracy requirements with processing efficiency.
Data Source
AI summary
Subscription management system and method provides real time subscription data dissemination to multiple computer devices of respective clients based on client subscriptions, using a UI message framework that decreases size and frequency of transmission of UI messages to service the subscriptions.