Infrastructure Issue Summarization Using Directed Acyclic Graphs
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing infrastructure management approaches are limited by manual analysis, lack of standardized representation, and limited evaluation capabilities, making it difficult to diagnose core issues in large infrastructure systems.
Innovation Solution
The use of Directed Acyclic Graphs (DAGs) to represent possible issues for infrastructure elements, with each vertex containing a rule, operation, and tuple of issue and severity, allows for dynamic summarization of active issues and improved human readability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual analysis methods are used to diagnose infrastructure issues, then human expertise can be applied to understand complex problems, but the process becomes time-consuming and error-prone
Solution Approach 1:
The patent replaces manual mechanical analysis with an automated computer-based system that uses Directed Acyclic Graphs (DAGs) to represent and evaluate infrastructure issues. The system automatically processes statistics data, evaluates issues against predefined rules, and generates summaries without human intervention, thereby eliminating time loss while maintaining or improving diagnosis accuracy through systematic rule-based evaluation.
Solution Approach 2:
The infrastructure monitoring system performs self-diagnosis by automatically collecting statistics, evaluating them against predefined issues and rules, and generating summaries of core problems. The system serves itself by autonomously identifying and reporting infrastructure issues without requiring external manual analysis, thus resolving the contradiction between accuracy and time consumption.
2Reliability
If comprehensive statistics are collected for all infrastructure elements, then complete issue coverage is achieved, but the complexity of diagnosing core issues increases significantly
Solution Approach 1:
The patent segments the complex diagnosis problem into structured components using Directed Acyclic Graphs (DAGs). Each DAG represents a specific infrastructure element with nodes corresponding to statistical metrics and edges representing relationships between them. This segmentation organizes comprehensive statistics into manageable, hierarchical structures, making it easier to identify core issues without being overwhelmed by data volume.
Solution Approach 2:
The system extracts only the most relevant statistics and issues from the comprehensive data set by evaluating them against predefined rules and thresholds. Instead of analyzing all statistics equally, the system extracts and highlights only those that indicate actual problems, thereby reducing diagnosis complexity while maintaining complete issue detection capability.
3Adaptability or versatility
If no standardized representation framework is used, then flexibility in representing different issues is maintained, but comparison and prioritization of issues become difficult
Solution Approach 1:
The patent implements a universal standardized framework using Directed Acyclic Graphs that can represent diverse infrastructure issues in a unified manner. The DAG structure serves multiple functions: it represents different types of issues (network, storage, compute), enables comparison through standardized node attributes, and maintains flexibility through configurable rules and thresholds. This universal structure resolves the contradiction by providing both standardization for comparison and adaptability for different issue types.
Solution Approach 2:
The system uses parameter-based representation where each issue is characterized by standardized parameters such as severity levels, impact metrics, and priority scores within the DAG structure. By changing and standardizing these parameters across different issue types, the system enables easy comparison and prioritization while maintaining the ability to represent diverse infrastructure problems through configurable parameter values.
4Reliability
If automated evaluation systems are implemented, then consistent and reproducible results are achieved, but the system complexity and rule configuration requirements increase
Solution Approach 1:
The patent applies preliminary action by pre-configuring the DAG structures, evaluation rules, and thresholds before actual infrastructure monitoring begins. The system is prepared in advance with predefined issue templates, evaluation criteria, and standardized representations. This preliminary setup ensures consistent and reproducible evaluation results while reducing operational complexity, as the heavy configuration work is done once beforehand rather than during ongoing operations.
Data Source
AI summary
A system and method for summarizing issues of an infrastructure, the method includes: representing possible issues for each of the elements using a Directed Acyclic Graph (DAG) having vertices, where each of the vertices includes a rule, an operation, and a tuple that comprises an issue and a severity; receiving data related to performance of elements within the infrastructure; evaluating, at each of the vertices, the data using the respective rule to identify a respective issue at the respective severity; and summarizing the vertices into core issue vertices for improved human readability and easier diagnosis. Evaluation for an edge vertex is based on the output of the respective rule, while evaluation for a non-edge vertex involves uniting the outputs of direct predecessors with a respective operation. If the union returns True, the evaluation outputs the computation of the rule associated with the vertex; otherwise, it outputs False.