In-Network Traffic Analyzer for Autonomous Device Configuration
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Solution Overview
Problem
Current network diagnostics rely on cumbersome centralized data collection systems that require extensive manual analysis to identify issues such as misconfigurations and performance degradation, leading to inefficiencies in troubleshooting and optimization.
Innovation Solution
Implementing a data collector within network devices to gather state and data unit information, which is then analyzed using a neural network-based analyzer to provide real-time, autonomous reporting and suggested actions for improving network performance and configuration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If centralized data collection systems are used for network diagnostics, then comprehensive data can be gathered, but the system becomes cumbersome and requires extensive manual analysis
Solution Approach 1:
The patent divides the network diagnostic system into distributed components: data collectors embedded in individual network devices, edge processors for local analysis, and a centralized analyzer. This segmentation allows comprehensive data gathering while eliminating the need for a single cumbersome centralized collection system, as each device independently collects and pre-processes its own data.
Solution Approach 2:
Network devices are equipped with embedded data collectors that automatically gather and pre-process their own operational data without requiring external intervention. The neural network analyzer autonomously identifies issues and generates diagnostic reports, eliminating the need for extensive manual analysis by human operators.
2Measurement precision
If manual analysis is used to identify network issues, then detailed examination is possible, but diagnostic time increases significantly
Solution Approach 1:
The patent replaces manual mechanical analysis with an automated neural network-based analysis system. The neural network autonomously processes collected network data, identifies misconfigurations and performance issues, and generates diagnostic reports, thereby maintaining detailed examination capabilities while dramatically reducing diagnostic time from days to minutes.
Solution Approach 2:
The system implements continuous monitoring with real-time feedback loops where collected network data is constantly analyzed by the neural network, which automatically adjusts its analysis based on patterns recognized from historical data and current network state, enabling rapid and accurate issue identification without manual intervention.
3Reliability
If traditional network monitoring systems are deployed, then network status can be tracked, but real-time autonomous optimization is not achieved
Solution Approach 1:
The neural network analyzer operates autonomously to identify network issues, diagnose root causes, and generate optimization recommendations without human intervention. The system self-manages the entire diagnostic workflow from data collection to analysis and report generation, achieving real-time autonomous optimization while maintaining continuous network status tracking.
Solution Approach 2:
The patent introduces a neural network-based intermediary analysis layer that sits between traditional monitoring systems and network optimization actions. This intelligent intermediary automatically interprets monitoring data, identifies issues, and translates them into actionable optimization recommendations, bridging the gap between passive monitoring and active autonomous optimization.
Data Source
AI summary
Approaches, techniques, and mechanisms facilitate actionable reporting of network state information and real-time, autonomous network engineering directly in-network at a switch or other network device. A data collector within the network device collects state information and/or data unit information from various device components, such as traffic managers and packet processors. The data collector, which may optionally generate additional state information by performing various calculations on the information it receives, is configured to then provide at least some of the state information to an analyzer device connected to an analyzer interface. The analyzer device, which may be a separate device, performs various analyses on the state information, depending on how it is configured. The analyzer device outputs reports that identify statuses, errors, misconfigurations, and/or suggested actions to take to improve operation of the network device. In an embodiment, some or all actions that may be suggested therein are executed automatically.