Proactive Network Problem Log Analyzer

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Solution Overview

Problem

Existing systems for managing and analyzing network quality issues in large-scale online service systems are time-consuming and prone to errors, requiring engineers to examine large volumes of problem logs to identify failures, and often fail to perform accurate root cause analysis, leading to inefficiencies and resource wastage.

Innovation Solution

A proactive network problem log analyzer tool that initiates a script to connect with a central database, identifies network quality issues by satisfying a threshold, determines their cause, and creates electronic documentation for recurring issues not already documented, thereby reducing the volume of logs to examine and improving detection accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If engineers manually examine recorded problem logs to identify service failures, then they can gain insights into the failure, but the process is time consuming and error prone

Engineering Contradiction:
Improvedetection accuracyVSAvoidtime to examine logs
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces manual mechanical examination of logs with an automated computer-implemented system that uses natural language processing and machine learning algorithms to analyze problem logs, thereby eliminating time-consuming manual review while maintaining or improving detection accuracy

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces an intermediary automated analysis system that acts as a mediator between the raw problem logs and the engineer, using natural language processing and root cause analysis algorithms to filter and interpret logs, reducing both time and errors in the examination process

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If engineers examine a large number of log sequences to identify the problem, then they may find the root cause, but the volume of problem log examination increases

Engineering Contradiction:
Improveroot cause identificationVSAvoidvolume of logs to examine
Core Design Contradiction:
ReliabilityVSQuantity of substance

Solution Approach 1:

The patent extracts only the relevant information from large volumes of problem logs using natural language processing and pattern recognition, isolating key error sequences and root causes while filtering out unnecessary data, thereby maintaining reliability without requiring examination of the entire log volume

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent creates structured representations and summaries of log data through automated analysis, generating condensed versions that capture essential information without requiring engineers to examine the full volume of original logs

Inventive Principle:
Principle #26Copying

3Productivity

If a system performs root cause analysis on particular types of failures, then it reduces the volume of problem log examination, but it requires sophisticated analysis capabilities

Engineering Contradiction:
Improvelog examination efficiencyVSAvoidanalysis system complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent segments the log analysis process into distinct modular components including natural language processing modules, pattern recognition modules, and root cause analysis modules, allowing sophisticated analysis capabilities to be broken down into manageable segments that can be executed efficiently

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent performs preliminary processing and classification of log data before detailed root cause analysis, using natural language processing to pre-filter and categorize logs, thereby reducing the volume requiring sophisticated analysis while maintaining productivity

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS11838171B2Proactive network application problem log analyzer
Publication Date: 2023.12.05 CERNER INNOVATION INC
  • US11838171B2 patent drawing
  • US11838171B2 patent drawing
  • US11838171B2 patent drawing

AI summary

Methods, systems, and computer-readable media are disclosed herein for proactively managing computing problems. In aspects, an execution of a script is initiated. A connection may be established via the script and the central database for identifying a network quality issue. The network quality issue may be identified more than once. Further, the network quality issue may be identified based on the network quality issue satisfying a threshold. Additionally, it may be determined that the network quality issue that satisfies the threshold is not associated with an electronic documentation based on a search in the central database. Based on determining the network quality issue is not associated with the electronic documentation, the electronic documentation may be created for the network quality issue that satisfies the threshold.