Network Incident Graph for Prioritized Remediation
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Solution Overview
Problem
Traditional performance monitoring and analytics tools in modern networks operate in silos, failing to provide a comprehensive view of network performance from an end-user perspective and do not analyze correlated information across multiple layers of the network stack, nor do they offer proactive insights or recommendations for remediation actions.
Innovation Solution
A system and method that analyzes network data to identify and compute network incidents, generating a network incident graph to prioritize remediation recommendations based on systemic issues, expected benefits, and actionability, allowing for proactive mitigation of network performance issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional performance monitoring tools operate in silos on individual network layers, then device complexity is reduced and ease of operation is maintained, but comprehensive network performance visibility and measurement precision deteriorate
Solution Approach 1:
The patent combines multiple siloed performance monitoring tools into a unified network incident management system that correlates data across multiple network layers (transport, network, data link, physical layers). This integration enables comprehensive network performance visibility by merging previously separate monitoring functions into a single system that can analyze correlated information across the entire network stack.
2Productivity
If traditional tools provide raw data for exploration, then information completeness is maintained, but productivity and ease of operation worsen due to lack of actionable insights
Solution Approach 1:
The system introduces an intermediary analysis layer that processes raw network data and generates actionable remediation recommendations. This intermediary component correlates network incidents across multiple layers and provides prioritized remediation guidance, transforming raw data into actionable insights without losing the underlying information. The intermediary layer includes algorithms that analyze incident patterns and generate specific remediation actions.
3Reliability
If traditional monitoring tools do not provide proactive predictions, then system simplicity is maintained, but reliability and duration of action worsen due to reactive rather than preventive capability
Solution Approach 1:
The system implements preliminary action by providing proactive predictions of future network performance issues before they occur. The incident management system analyzes current network conditions and predicts potential failures or performance degradation, enabling preventive remediation actions to be taken before actual incidents impact network reliability. This preliminary analysis capability transforms the system from reactive to proactive.
Data Source
AI summary
A method for analyzing network incidents within a network and providing prioritized remediation recommendations is disclosed. The method includes: receiving network data and computing a plurality of network incidents from the network data, collecting network incidents related to a particular network issue over a time period and grouping the network incidents according to root-cause symptoms, generating a network incident graph by superimposing groups of network incidents over a network graph, analyzing the network incident graph to identify localized areas with systemic issues; and based on the analysis of the network incident graph, generating and displaying a list of remediation recommendations. Each remediation recommendation includes a systemic issue in the network, a remediation to resolve the issue, and a quantified expected benefit from implementing the remediation.