Keyed Delay Mechanism for Streaming Data Processing
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Solution Overview
Problem
Stream processing systems face excessive resource consumption and data output due to the need to process large volumes of data with many events updating the same item, leading to increased latency and unnecessary processing.
Innovation Solution
Implementing a keyed delay mechanism that maintains the most recent event for each unique key and outputs it only after a specified delay condition is met, reducing redundant processing and data output by filtering out obsolete updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all incoming events are processed and output in stream processing systems, then data availability and completeness are improved, but processing load and resource consumption increase excessively
Solution Approach 1:
The patent extracts only the necessary events from the stream by applying a keyed delay filter. Events with the same key within the delay window are filtered out, extracting only the first event for each key. This reduces processing load while maintaining data completeness for unique events.
Solution Approach 2:
The patent changes the parameter of event selection by introducing a time delay threshold. Events are processed based on their arrival time relative to the delay parameter, transforming the processing criterion from 'all events' to 'events exceeding delay threshold', thereby improving efficiency.
2Loss of information
If redundant events with the same key are processed, then data completeness is maintained, but unnecessary computations and resource usage increase
Solution Approach 1:
The patent extracts only unique events by identifying and removing duplicates with the same key within the delay window. This extraction principle eliminates redundant computations while preserving all unique event information, reducing energy consumption proportionally to the redundancy removed.
Solution Approach 2:
The patent discards redundant events that arrive within the delay window of a previously seen key, recovering computational resources that would have been spent processing them. The first event for each key is retained, ensuring no information loss while discarding only the redundant copies.
3Productivity
If a keyed delay mechanism is implemented to filter events, then processing load and data output are reduced, but system complexity increases
Solution Approach 1:
The patent applies preliminary filtering by key and delay before downstream processing. Events are pre-screened to identify unique ones, performing the filtering action in advance. This preliminary action reduces the volume of data entering subsequent processing stages, improving overall throughput despite the added filtering logic.
4Loss of information
If all events are output immediately, then data availability is improved, but downstream systems are overwhelmed by excessive data volume
Solution Approach 1:
The patent extracts only the essential subset of events by applying keyed delay filtering. This extraction reduces data volume to only unique events, preventing downstream systems from being overwhelmed while maintaining availability of all necessary information.
Solution Approach 2:
Instead of processing all events (excessive action), the patent applies partial processing only to events that meet the keyed delay criterion. This partial action approach processes exactly the necessary portion of data, avoiding downstream overload while ensuring data availability.
Data Source
AI summary
A keyed delay is used in the processing of streaming data to decrease the processing performed and the output provided. A first event, within a particular window, having a particular key starts a delay condition. Arriving events with the same key replace the previous arrival for that key until the delay condition is satisfied. In response thereto, the latest event with that key is output.