Automated Event Analysis System for Computing Networks
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Manual event analysis in electronic computing and communication systems is resource-intensive and prone to human error, requiring significant time and effort to identify and remediate issues within complex network topologies.
Innovation Solution
Automated event analysis and management systems that automatically discover system elements, generate network topology representations, investigate events, evaluate remediation priorities, and perform auto-remediation, reducing human intervention and increasing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual event analysis is performed, then human expertise can identify and remediate issues, but significant human resources and time are consumed
Solution Approach 1:
The system enables automated self-service event analysis where the computing system automatically discovers events, enumerates topology, investigates issues, and remediates problems without human intervention. The system serves itself by autonomously performing tasks that previously required human analysts, thereby reducing time consumption while maintaining analysis quality through systematic automated processes.
Solution Approach 2:
Manual mechanical analysis processes are replaced with automated computational systems. The patent substitutes human analysts with an automated event management system that uses computational algorithms to discover events, enumerate network topology, investigate issues, and implement remediation, thereby eliminating the time-consuming manual processes while maintaining or improving analysis reliability.
2Difficulty of detecting and measuring
If manual event analysis is performed, then complex network topologies can be investigated, but significant human resources are required
Solution Approach 1:
The system automatically enumerates network topology and investigates complex configurations without requiring human resources. The automated system performs topology discovery, element identification, and relationship mapping autonomously, enabling the handling of complex network topologies while eliminating the need for significant human resource投入.
Solution Approach 2:
Manual investigation processes for complex network topologies are replaced with automated computational systems. The patent employs automated topology enumeration and investigation mechanisms that can process complex network configurations efficiently, substituting human analysts with computational algorithms that handle the complexity without resource constraints.
3Productivity
If automated event analysis is implemented, then human resource utilization is reduced, but system complexity increases
Solution Approach 1:
The automated event management system performs multiple functions including event discovery, topology enumeration, event investigation, priority evaluation, and automated remediation within a single integrated platform. This multi-functionality consolidates what would otherwise require multiple separate systems, managing complexity through unified design while delivering high productivity across all event management tasks.
Solution Approach 2:
The automated system divides event management into distinct modular components: event discovery module, topology enumeration module, event investigation module, priority evaluation module, and remediation module. This segmentation allows each component to be independently developed, tested, and maintained, managing overall system complexity through modular architecture while maintaining high overall productivity.
Data Source
Figure 1
Figure 2
Figure 3~4
AI summary
A method comprises: receiving, via one or more processors, an indication of an event in a computing system, wherein the computing system comprises a plurality of elements; identifying, via the one or more processors, an element of the plurality of elements corresponding to the event; determining, via the one or more processors, a value for a metric for the element; and in response to determining that the value is outside a range associated with the metric, generating, via the one or more processors, a remediation priority for the element based at least in part on a metric weight associated with the metric. A non-transitory, computer-readable, and tangible medium and a computing system is also disclosed.