Latency-Tolerant Database Update Prioritization
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Solution Overview
Problem
Existing data processing systems face inefficiencies due to unnecessary data update messages that consume network traffic and reduce processing efficiency, particularly in financial markets where liquidity and order fulfillment are affected by stale data messages.
Innovation Solution
Implementing a method that includes receiving new data messages with latency tolerance, prioritizing data records based on this tolerance, and constraining them to remain in the database for a minimum duration, thereby increasing their priority and delaying updates or deletions to match incoming messages effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If data messages are processed immediately upon arrival, then processing speed is improved, but redundant data messages consume network traffic and reduce overall processing efficiency
Solution Approach 1:
The system performs preliminary classification of incoming data messages into latency-sensitive and latency-tolerant categories before processing. This preliminary action allows the system to apply different processing strategies to different message types, preventing redundant messages from consuming unnecessary network traffic and processing resources while maintaining high-speed processing for critical messages.
2Device complexity
If all data messages are treated equally, then system simplicity is maintained, but latency-tolerant orders do not receive priority treatment needed for market stability
Solution Approach 1:
The system applies local quality by treating different data messages differently based on their latency characteristics. Latency-tolerant orders are identified and given priority treatment in the order book, while latency-sensitive orders receive standard processing. This localized differentiation improves market stability for latency-tolerant orders without requiring complete system redesign.
3Loss of time
If data records are updated immediately when new messages arrive, then data freshness is improved, but latency-tolerant records are prematurely updated or deleted
Solution Approach 1:
The system implements dynamic update policies where the treatment of data records depends on their latency tolerance classification. Latency-tolerant records are protected from premature updates or deletions and are given priority matching, while latency-sensitive records receive immediate processing. This dynamic approach ensures data freshness for critical records while protecting reliability for latency-tolerant orders.
Data Source
AI summary
New data messages for updating a database can indicate a latency tolerance. The latency tolerance can constrain new data records based on such new data messages to also indicate the latency tolerance. Latency-tolerant data records can be constrained to remain in the working database for a minimum duration. Data records present in the working database can be prioritized according to prioritization criteria that increases priority of data records indicating latency tolerance. Matching incoming data messages with the data records present in the working database can be based on such prioritization. A matched data record can be updated or deleted upon successful match with an incoming data message. The latency tolerance can be applied to trading systems for financial instruments or interests as a long-life order that rests in an order book without being able to be cancelled or updated for the minimum duration in exchange for priority during order matching.