17808555. SYSTEM LOG PATTERN ANALYSIS BY IMAGE SIMILARITY RECOGNITION simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)

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SYSTEM LOG PATTERN ANALYSIS BY IMAGE SIMILARITY RECOGNITION

Organization Name

INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor(s)

Chuan Li of Shanghai (CN)

Gang Lyu of Shanghai (CN)

Jun Gu of Shanghai (CN)

HONG Zhou of Shanghai (CN)

SYSTEM LOG PATTERN ANALYSIS BY IMAGE SIMILARITY RECOGNITION - A simplified explanation of the abstract

This abstract first appeared for US patent application 17808555 titled 'SYSTEM LOG PATTERN ANALYSIS BY IMAGE SIMILARITY RECOGNITION

Simplified Explanation

The present invention is a system that uses artificial intelligence to identify and analyze error patterns in log databases. Here is a simplified explanation of the patent application:

  • The system identifies a log database with known error patterns.
  • It maps these known error patterns into a series of diagrams.
  • An artificial intelligence algorithm is trained using these diagrams.
  • The algorithm compares diagrams and returns a distance value.
  • The system can then identify logs for a new error pattern.
  • It maps the new error pattern to a two-dimensional diagram.
  • The algorithm compares the new diagram to the existing diagrams.
  • If the distance value is below a threshold, log data is identified.

Potential applications of this technology:

  • IT support: The system can help IT support teams quickly identify and troubleshoot errors in log databases.
  • Software development: Developers can use the system to analyze and fix bugs in their software.
  • Network monitoring: The system can be used to detect and analyze errors in network logs.

Problems solved by this technology:

  • Manual error pattern identification: The system automates the process of identifying error patterns in log databases, saving time and effort.
  • Efficient troubleshooting: By quickly identifying and analyzing error patterns, the system helps in troubleshooting and resolving issues more efficiently.

Benefits of this technology:

  • Time-saving: The system automates the process of identifying and analyzing error patterns, saving valuable time for IT support teams and developers.
  • Accuracy: The artificial intelligence algorithm provides accurate comparisons and identifies log data based on distance values, reducing the chances of human error.
  • Scalability: The system can handle large log databases and efficiently analyze new error patterns as they arise.


Original Abstract Submitted

The present invention may include an embodiment that identifies a log database with known error patterns. The embodiment may map the known error patterns into plurality of diagrams. The embodiment may train an artificial intelligence (AI) algorithm with the plurality of diagrams, where the AI algorithm compares diagrams and returns a distance value. The embodiment may identify logs for a new error pattern. The embodiment may map the new error pattern to a two-dimensional diagram. The embodiment may compare the two-dimensional diagram to the plurality of diagrams using the AI algorithm and identify log data of the at least one diagram based on determining a distance value is below a threshold for at least one diagram within the plurality of diagrams

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