Incremental Log Pattern Analysis for Live Stream Processing
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Solution Overview
Problem
Existing log analysis techniques are inefficient in processing live streams of data, requiring significant re-computation and struggling to detect new patterns and trends over time due to their batch-based processing and lack of incremental analysis capabilities.
Innovation Solution
A system that incrementally processes log entries by maintaining a current set of baseline patterns, allowing for real-time analysis and comparison of pattern hierarchies over time, enabling the detection of new patterns and trends without regenerating the entire pattern set each time new data is received.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If log analysis algorithms process live streaming data by scanning the entire dataset each time new data is received, then complete pattern analysis is achieved, but computational cost and processing time increase significantly
Solution Approach 1:
The patent pre-processes log entries during ingestion to create normalized representations and stores them in data structures optimized for pattern matching. This preliminary organization allows the system to perform incremental pattern analysis on new data without re-scanning entire datasets, resolving the contradiction between analysis completeness and processing speed
Solution Approach 2:
The patent divides the log analysis process into independent incremental steps that can be processed separately. Each new log entry is analyzed against existing patterns independently, allowing the system to maintain complete pattern analysis capability while processing data in small, efficient batches rather than requiring full dataset re-scanning
2Reliability
If log analysis algorithms re-run the entire algorithm on the complete dataset each time new data is received, then up-to-date pattern detection is achieved, but computational resources are wasted
Solution Approach 1:
The patent maintains continuous pattern analysis by incrementally updating pattern matches as new log entries arrive. The system continuously compares new entries against the established pattern hierarchy and updates pattern counts in real-time, eliminating the need to re-run complete algorithms while maintaining reliable pattern detection accuracy
Solution Approach 2:
The patent implements a self-updating pattern hierarchy where the system automatically adapts to new patterns in the log stream without requiring complete re-analysis. The incremental algorithm automatically identifies new patterns and integrates them into the existing hierarchy, reducing computational resource consumption while maintaining detection accuracy
3Adaptability or versatility
If baseline patterns change with each computation, then adaptive pattern recognition is achieved, but comparing results across different time points becomes difficult
Solution Approach 1:
The patent implements a feedback mechanism that tracks changes in the pattern hierarchy over time. By maintaining records of pattern counts and hierarchy structures at different time points, the system can compare results across time while accounting for adaptive changes, resolving the contradiction between adaptability and comparability
Data Source
AI summary
A method is implemented by a computing device to analyze a live stream of log entries to determine new patterns and changes in a number of occurrences of previously identified patterns. The method includes receiving a log entry in a live stream of log entries, determining whether the log entry fits a baseline pattern from one or more previously saved baseline patterns, adding to a count of occurrences for a baseline pattern if the log entry fits that baseline pattern, creating a new baseline pattern for the log entry if the log entry does not fit any of the one or more previously saved baseline patterns, saving the new baseline pattern, generating a snapshot of a pattern hierarchy based on the baseline patterns, comparing the new snapshot to a previously saved snapshot of a pattern hierarchy, and causing a report to be displayed based on a result of the comparing.