CDN Service Alarm Cause Analysis for Accurate Automated Processing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing CDN service alarms are numerous and often triggered by non-essential causes, leading to manual intervention requirements and difficulty in distinguishing real alarm causes, especially with automatic processing scripts failing to accurately identify issues.
Innovation Solution
A method and apparatus that utilize detection data and cause analysis to determine whether to trigger a service alarm, identify its cause, and send it to the appropriate recipient device, incorporating domain name blocking, alarm detection policies, and cause analysis to enhance accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic processing scripts are used for alarm processing, then processing speed is improved, but accuracy deteriorates due to inability to distinguish real alarm causes
Solution Approach 1:
An alarm analysis device is introduced as an intermediary between the alarm generation device and the alarm processing device. This intermediary performs cause analysis on alarms by comparing alarm information with pre-stored alarm cause libraries, thereby improving identification accuracy while maintaining automated processing speed. The analysis device acts as a mediator that enhances the overall system's diagnostic capability without requiring manual intervention for each alarm.
Solution Approach 2:
The system implements feedback mechanisms where alarm processing results and cause analysis outcomes are used to refine and update alarm cause libraries. The alarm analysis device continuously learns from processed alarms, improving its ability to distinguish real alarm causes from false alarms over time. This feedback loop enables the system to maintain high accuracy while operating automatically.
2Measurement precision
If manual intervention is used for alarm processing, then accuracy is improved, but processing speed deteriorates due to large volume of alarms
Solution Approach 1:
The alarm analysis device enables self-service by automatically analyzing alarm causes without requiring manual intervention. The system compares alarm information with pre-stored cause libraries and autonomously determines alarm causes, allowing high-volume alarms to be processed quickly while maintaining accuracy. This self-service capability frees operators from manual alarm analysis while preserving diagnostic precision.
Solution Approach 2:
The alarm analysis device serves as an intermediary that performs the previously manual analysis function automatically. By positioning this intelligent mediator between alarm generation and processing, the system achieves both automated speed and accurate cause identification that previously required human expertise.
3Reliability
If all alarms are processed equally, then completeness is improved, but efficiency deteriorates due to high proportion of non-CDN alarms
Solution Approach 1:
The system applies local quality by treating different types of alarms differently based on their characteristics. The alarm analysis device identifies whether an alarm originates from CDN issues or other sources (such as source station problems or normal behaviors) and applies appropriate processing strategies. This differentiated approach ensures that CDN-related alarms receive thorough attention while non-CDN alarms are efficiently filtered or routed, improving overall processing efficiency without compromising completeness.
Solution Approach 2:
The alarm processing system is segmented into different handling paths based on alarm cause classification. By dividing alarms into categories (CDN issues versus non-CDN issues), the system can apply specialized processing procedures to each segment. This segmentation allows efficient handling of the high proportion of non-CDN alarms while ensuring comprehensive processing of genuine CDN problems.
Data Source
AI summary
The present disclosure provides a method and apparatus for processing a service alarm based on a CDN, a device, and a medium. The method includes obtaining detection data and cause analysis data corresponding to a target domain name. The method further includes determining whether to perform a service alarm corresponding to the target domain name by using the detection data. The method further includes in response to determining to perform the service alarm corresponding to the target domain name, determining a cause of the service alarm by using the cause analysis data. The method further includes obtaining a sending policy corresponding to the cause of the service alarm, and sending the cause of the service alarm according to the sending policy.