Network Analysis System Correlating Traffic and User Impact
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Solution Overview
Problem
Current network management systems face challenges in detecting and remediating network issues that adversely impact user experience, particularly in complex network environments with multiple layers of gateways, routers, and access points, as they often require on-site administrators and are inefficient in identifying and addressing overwhelming network traffic.
Innovation Solution
A network analysis system that correlates network data with user impact data to detect and remediate network events, using machine learning models to identify root causes and automatically initiate corrective actions, thereby reducing the need for on-site intervention and improving response times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If network management systems use complex multi-layer gateway and router architectures to provide comprehensive network services, then network functionality and coverage are improved, but system complexity increases making it harder to detect and remediate network issues
Solution Approach 1:
The patent segments the network monitoring function by collecting telemetry data at individual network elements (routers, switches, firewalls) and correlating it with user impact data from specific user devices. This segmentation allows complex network issues to be broken down into manageable components, each can be analyzed independently, and traced back to specific root causes in the complex architecture.
Solution Approach 2:
The patent introduces an intermediary analysis system that receives telemetry data from network elements and user impact data from client devices, then correlates these datasets to identify network events causing user impact. This intermediary layer simplifies the complexity by providing a centralized correlation mechanism that translates complex network traffic patterns into actionable insights about user experience issues.
2Measurement precision
If network management systems manually monitor and troubleshoot network issues, then detailed analysis can be performed, but response time increases and productivity decreases
Solution Approach 1:
The patent implements self-service through automated correlation analysis where the system automatically processes telemetry data and user impact data to identify network events causing user impact. The system performs root cause analysis and remediation actions without requiring manual intervention, enabling detailed analysis to be performed automatically and continuously, thus improving both measurement precision and productivity.
Solution Approach 2:
The patent enables continuous monitoring and analysis by collecting telemetry data continuously from network elements and continuously correlating it with user impact data. This continuous operation allows the system to detect and respond to network issues in real-time, eliminating the interruptions and delays associated with manual monitoring while maintaining detailed analysis capabilities.
3Ease of repair
If network management systems require on-site administrator intervention to remediate issues, then complex troubleshooting can be performed, but loss of time increases and automation is reduced
Solution Approach 1:
The patent implements self-service by automatically identifying network events that cause user impact and executing remediation actions without requiring on-site administrator intervention. The system can autonomously perform troubleshooting, identify root causes, and apply fixes based on predefined policies or learned patterns, thereby eliminating time loss associated with manual intervention while maintaining comprehensive troubleshooting capability.
Solution Approach 2:
The patent applies preliminary action by pre-configuring remediation policies and procedures that are automatically executed when network issues are detected. The system has pre-established response protocols that can be immediately activated, eliminating the need for on-site administrators to perform preliminary troubleshooting steps and reducing overall intervention time.
4Measurement precision
If network systems collect and correlate extensive network data with user impact data to identify root causes, then detection precision is improved, but use of energy and computational resources increase
Solution Approach 1:
The patent applies local quality by collecting and analyzing telemetry data at specific local network elements where issues originate, rather than requiring comprehensive analysis of all network traffic. The system focuses computational resources on correlating data from specific network elements with user impact data from affected user devices, improving detection precision while reducing overall computational resource consumption by avoiding unnecessary analysis of unaffected network segments.
Data Source
AI summary
A method includes receiving, by a network management system, network data from a plurality of network devices configured to provide a network at a site; receiving, by the processing circuitry, user impact data from a plurality of client devices that access the network at the site; determining, based on the network data, a pattern of one or more network events occurring over time; correlating in time the pattern of the one or more network events to an adverse user impact event indicated by the user impact data received from the plurality of client devices; and determining, in response to the correlating, an instance of overwhelming network traffic having an adverse user impact. In some examples, the network data includes network traffic impact data, such as a number of packets dropped at a switch port due to congestion.