Network Performance Spread Service for Wireless Weak Point Identification
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Solution Overview
Problem
Identifying and addressing network weak points, poorly performing devices, and device conflicts within wireless networks is technically challenging, impacting overall network performance and requiring effective remedial measures.
Innovation Solution
A network performance spread service that includes analytics to identify performance issues, generates graphs to represent network devices and their relationships, calculates correlations, and invokes remedial procedures to mitigate degradation, thereby improving network management and prioritizing repairs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If network performance monitoring and analysis are performed to identify weak points and poorly performing devices, then network management quality is improved, but system complexity and computational requirements increase
Solution Approach 1:
The patent segments the network into discrete devices and relationships, representing them as graph vertices and edges. This segmentation allows the analytics system to process network performance data in manageable units, identifying weak points and device conflicts through structured analysis of individual components and their interconnections.
Solution Approach 2:
The patent introduces an intermediary analytics service that acts as a mediator between raw network performance data and remedial actions. This service generates graph representations, calculates correlations, and identifies performance spread patterns, thereby simplifying the overall system architecture while maintaining high measurement precision through specialized analysis functions.
2Loss of information
If graph generation and correlation calculations are performed to identify performance spread patterns, then root cause identification is improved, but processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary actions by continuously generating and maintaining graph representations of the network structure and device relationships. This pre-computed graph data is readily available when performance issues arise, enabling rapid correlation calculations and root cause identification without requiring time-consuming data collection and processing at the moment of incident detection.
Solution Approach 2:
The patent replaces traditional mechanical or linear analysis methods with graph-theory-based correlation calculations. By substituting conventional performance analysis with graph-based relationship mapping and correlation algorithms, the system efficiently identifies performance spread patterns and root causes while reducing processing time through mathematical optimization.
3Reliability
If remedial procedures are automatically invoked to mitigate network degradation, then network reliability is improved, but control and monitoring complexity increase
Solution Approach 1:
The patent implements a feedback mechanism where the analytics service continuously monitors network performance, identifies degradation patterns through graph correlation analysis, and automatically invokes remedial procedures. This closed-loop feedback system improves network reliability by responding to performance issues in real-time while managing complexity through automated decision-making algorithms that learn from historical data and adjustment outcomes.
Solution Approach 2:
The patent enables the network system to perform self-service through automated remedial procedures. When performance degradation is detected and root causes are identified through graph analysis, the system automatically invokes appropriate remediation actions without requiring manual intervention. This self-service capability improves reliability while managing complexity by empowering the system to handle routine issues autonomously.
Data Source
AI summary
A method, a device, and a non-transitory storage medium are described in which a network performance spread service is provided. The service may include generating a dependency graph representative of a network and identifying current or prospective poor performance spread of network elements based on correlations between the network elements and performance data. The service may also include providing remedial services that address the poor performance spread in the network.