Event History Management via Dictionary-Based Sequence Representation
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Solution Overview
Problem
Existing technologies for managing event histories tend to retain information about specific events, leading to increased log size when many such events are kept, which inefficiently uses computer resources.
Innovation Solution
An information processing apparatus and method that determines an alternative representation of event sequences using dictionary data to associate event sequences with their alternative representations, allowing for more efficient management and output of event histories.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If information about specific events is retained in the log, then the reliability of event tracking is improved, but the volume of log data increases
Solution Approach 1:
The patent merges multiple event histories representing the same event sequence into a single consolidated log entry. By identifying that multiple event histories correspond to the same underlying event sequence (using dictionary data for matching), the system combines them and records only one representative entry, thereby reducing log volume while preserving complete event tracking information.
Solution Approach 2:
The patent creates a universal representation of event sequences that can serve multiple purposes. The dictionary data structure allows the system to match and identify equivalent event sequences across different event histories, enabling a single log entry to represent multiple occurrences of the same event pattern, thus reducing redundancy while maintaining reliability.
2Measurement precision
If detailed event histories are maintained, then the measurement precision of system behavior is improved, but the computational resources required increase
Solution Approach 1:
The patent uses dictionary data as a template or copy mechanism to represent event sequences. Instead of storing and processing complete detailed event histories, the system creates simplified copies or references to event sequences through the dictionary structure, reducing computational overhead while preserving the essential information needed for accurate system behavior measurement.
Solution Approach 2:
The patent segments the event history data into two parts: the dictionary data containing the event sequence patterns, and the actual log entries that reference these patterns. This segmentation allows the system to maintain measurement precision through the dictionary while reducing processing requirements for individual log entries, as they can be matched against pre-defined patterns rather than processed in full detail.
Data Source
AI summary
A first information processing apparatus (2000) determines an alternative representation (20) of an event sequence represented by a plurality of event histories (12), by use of dictionary data (30). The first information processing apparatus (2000) outputs information including the determined alternative representation (20). The dictionary data (30) indicate an event sequence and an alternative representation (20) relating to the event sequence in association with each other.