Automated Analysis Engine for Complex System Troubleshooting
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Solution Overview
Problem
Complex computing tasks such as troubleshooting, performance analysis, and disaster recovery require specialized knowledge and involve gathering data from multiple sources, making them difficult to automate and manage, especially for unskilled users due to varying formats and system-specific information.
Innovation Solution
A configuration-driven engine that automates complex tasks by consolidating relevant computing system information into a single source, parsing input files into steps, and executing actions through a data engine to gather and analyze data, generating log files for troubleshooting and remedial measures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple tools are used to collect data from multiple sources, then data gathering completeness is improved, but operation complexity increases
Solution Approach 1:
The patent combines multiple data collection tools and functions into a single integrated troubleshooting tool that can gather data from multiple sources (performance counters, event logs, files, registry) simultaneously, eliminating the need to run multiple separate tools and reducing operational complexity
Solution Approach 2:
The troubleshooting tool is designed with universal multi-functionality to perform diverse data collection tasks across different data sources and formats through a single interface, allowing it to adapt to various troubleshooting scenarios without requiring multiple specialized tools
2Measurement precision
If specialized knowledge is required to interpret results, then analysis accuracy is improved, but ease of operation deteriorates
Solution Approach 1:
The system performs self-service by automatically analyzing collected data and generating troubleshooting recommendations without requiring user expertise. The tool independently interprets results from multiple data sources and provides actionable insights, eliminating the need for users to possess specialized domain knowledge
Solution Approach 2:
The patent introduces an intermediary analysis layer that sits between raw data collection and user interpretation. This intermediary automatically processes, correlates, and interprets data from multiple sources, translating complex technical information into understandable recommendations for users regardless of their expertise level
3Reliability
If manual troubleshooting steps are followed, then task completion is achieved, but time consumption increases
Solution Approach 1:
The system performs preliminary actions by pre-configuring troubleshooting workflows and automatically executing sequential steps without user intervention. The tool prepares and runs the complete troubleshooting process in advance, gathering data, analyzing results, and generating recommendations automatically, significantly reducing the time users would spend manually following troubleshooting procedures
Data Source
AI summary
Automated multiple step tasks are executed on a computing device to analyze a computer system. A step engine performs a complex task such as troubleshooting, performance analysis, or disaster recovery as defined by an input file. The step engine parses the input file into individual steps and dispatches actions of the steps to another device for execution. The device returns a file with the results of the action. The step engine progresses through the list of steps and generates a log file representative of the actions taken and data collected during performance of the task.