Network Disruption Index for Proactive Hardware Management
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Solution Overview
Problem
Current network monitoring relies on outdated indicators, leading to primarily reactive rather than proactive management, as traditional key performance indicators like availability, utilization, latency, and jitter are limited in providing comprehensive network health insights.
Innovation Solution
A system and apparatus that calculates a network disruption index based on disruption scores from service requests, end-of-life measures, security incident responses, and return material authorizations, comparing it to a threshold to identify and mitigate potential hardware device issues, thereby enabling proactive network management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional key performance indicators (availability, utilization, latency, jitter) are used for network monitoring, then measurement simplicity is maintained, but network disruption detection precision deteriorates
Solution Approach 1:
The patent segments the network monitoring system into multiple specialized modules: service request analysis module, end-of-life measure module, security incident response module, and return material authorization module. Each module processes specific types of disruption data independently, then their results are aggregated to form the comprehensive network disruption index. This segmentation allows the system to handle complex multi-source data while maintaining manageable module-level complexity.
Solution Approach 2:
The patent merges four distinct data sources (service requests, end-of-life measures, security incident responses, and return material authorizations) into a single unified network disruption index through weighted aggregation. This combining approach consolidates multiple measurement dimensions into one comprehensive metric, improving detection precision without proportionally increasing system complexity.
2Reliability
If traditional reactive network management is used, then operational simplicity is maintained, but network stability deteriorates
Solution Approach 1:
The patent implements preliminary action by continuously monitoring multiple disruption indicators and calculating the network disruption index in advance of actual network failures. The system identifies trends and anomalies in service requests, end-of-life measures, security incidents, and return material authorizations before they cause significant disruptions, enabling proactive mitigation actions that prevent network instability rather than reacting after problems occur.
Solution Approach 2:
The patent establishes a feedback loop where the network disruption index is continuously calculated from multiple data sources, compared against thresholds, and used to trigger alerts or automated responses. This feedback mechanism transforms the system from static traditional monitoring to dynamic adaptive management, improving network stability through continuous adjustment based on real-time disruption patterns.
Data Source
AI summary
Presented herein are methodologies for implementing a system and apparatus to estimate a network disruption index and undertake a mitigation action accordingly. A method includes calculating a network disruption index based on at least a disruption score associated with a service request measure, an end-of-life measure, a security incident response measure and a return material authorization measure for respective hardware devices in a network, comparing the network disruption index to a predetermined threshold, and when the network disruption index is above the predetermined threshold, identifying one or more of the hardware devices in the network for a mitigation action and implementing the mitigation action.


