Predictive Support System for Software Using Signature Matching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Complex software systems are prone to failures and performance issues, requiring software administrators to proactively identify and address potential problems, which is inefficient and time-consuming.
Innovation Solution
A predictive support system using signatures that compares data from various sources with stored signatures to detect potential issues, providing remedies such as auto-repair instructions or support case creation, thereby preventing failures and improving performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If software administrators manually monitor and diagnose software issues, then they can identify and resolve problems, but the process is time-consuming and inefficient
Solution Approach 1:
The system performs preliminary actions by proactively monitoring software configurations and comparing them against known problematic patterns (signatures) before failures occur. This advance detection and automatic notification eliminates the need for administrators to manually diagnose issues, significantly reducing diagnostic time and improving resolution efficiency.
2Reliability
If the system proactively monitors software configurations, then potential issues can be detected early, but the system complexity increases
Solution Approach 1:
The system uses copying by creating simplified representations (signatures) of known problematic software configurations. Instead of implementing complex AI or machine learning models, the system copies the essential characteristics of problematic states into rule-based signatures that can be efficiently compared against current system configurations, achieving reliable detection without excessive complexity.
3Ease of operation
If manual software monitoring is performed, then administrators have control over diagnostics, but the burden on administrators increases
Solution Approach 1:
The system implements self-service by automatically performing monitoring, configuration analysis, and issue detection without requiring administrator intervention. The automated comparison of system configurations against signature patterns and the automatic generation of notifications transfers the monitoring burden from administrators to the system itself, reducing both workload and time spent on routine monitoring tasks.
Data Source
AI summary
Signatures indicating potential problems can be used by a predictive support component. The predictive support component can check to see if a signature matches data for a data source associated with the software.