Forwarding Device KPI Extraction for Fast Network Fault Detection
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Solution Overview
Problem
Conventional fault detection methods in data communications networks consume a large quantity of network resources and result in long detection times due to the need to mirror service flows and analyze them extensively.
Innovation Solution
A fault detection method where a forwarding device obtains service information, including identification information and key performance indicators (KPIs) of service flows, and sends detection information to a first device for real-time detection, reducing network resource consumption and improving detection efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the access device or forwarding device mirrors the service flow of the network object and sends it to the analysis platform for detection, then the network object can be detected for faults, but a large quantity of network resources is consumed
Solution Approach 1:
The patent extracts only the essential detection information (service flow characteristics, performance indicators, metadata) from the complete service flow, rather than mirroring and transmitting the entire service flow. This extraction approach maintains fault detection capability while significantly reducing network resource consumption by sending only the necessary diagnostic data to the analysis platform.
Solution Approach 2:
The patent segments the service flow into distinct components: control plane traffic and data plane traffic. By segmenting and selectively monitoring only the control plane traffic which contains fault indication information, the system achieves effective fault detection without consuming excessive network resources for mirroring all service flow data.
2Reliability
If the network management system configures the access device or forwarding device to mirror the service flow when an exception is discovered, then fault detection can be performed, but long time is required for fault detection and great delay occurs
Solution Approach 1:
The patent implements preliminary action by continuously collecting and analyzing service flow characteristics and performance indicators in real-time before faults fully manifest. The system proactively monitors control plane traffic patterns and detects anomalies early, enabling faster fault response without requiring time-consuming service flow mirroring configurations after exceptions are discovered.
Solution Approach 2:
The patent replaces the mechanical service flow mirroring process with a more efficient information extraction and analysis mechanism. Instead of physically copying and transmitting entire service flows through mirror ports, the system uses automated information extraction from control plane traffic and performance metrics, significantly reducing the time required for fault detection and elimination of configuration delays.
Data Source
AI summary
In certain embodiments, a forwarding device receives at least one service flow. The forwarding device obtains service information of the at least one service flow, where the service information of the service flow includes identification information of a network object to which the service flow belongs and M key performance indicators KPIs of the service flow. M is an integer greater than 0, and the network object includes one or more devices. The forwarding device sends detection information to a first device, where the detection information includes the service information of the at least one service flow or a feature set obtained based on the service information of the at least one service flow. The detection information is used to detect whether the network object is in a faulty state.