CDN Information Display for Abnormal Resource Detection
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Solution Overview
Problem
Content delivery networks face challenges in effectively monitoring and managing 'dark industry' behaviors, such as image hosting thefts, due to loopholes in business architecture and logic, leading to low utilization of business bandwidth and inadequate control over abnormal resource usage.
Innovation Solution
A content delivery network-oriented method that acquires business configuration information and task information in real-time to detect and process abnormal resource information, allowing for real-time optimization and improved resource utilization without human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If real-time detection and processing of abnormal resource information is implemented, then resource utilization is improved, but system complexity increases
Solution Approach 1:
The system pre-configures business domain names and configuration parameters before abnormal resources are detected. This preliminary preparation allows the system to quickly match and process abnormal resources against predefined criteria, enabling real-time detection without requiring complex runtime analysis of business logic, thus improving resource utilization while limiting complexity growth.
Solution Approach 2:
The patent introduces an intermediary processing layer that receives abnormal resource information, matches it against pre-configured business domain names and parameters, and generates processing results. This intermediary layer simplifies the overall system architecture by centralizing the complex matching logic in a dedicated component rather than distributing complexity across the entire system.
2Productivity
If automated detection and processing of abnormal resources is implemented, then operational efficiency is improved, but measurement precision requirements increase
Solution Approach 1:
The system implements feedback by continuously monitoring resource access patterns, comparing them against pre-configured business domain names and parameters, and automatically adjusting processing decisions based on the matching results. This feedback mechanism enables automated detection with high precision by iteratively refining the identification of abnormal resources through comparison with known business patterns.
Solution Approach 2:
By pre-configuring business domain names and configuration parameters before detection operations, the system establishes precise reference criteria in advance. This preliminary action ensures that automated detection compares abnormal resources against accurate, pre-validated business patterns, maintaining high measurement precision while enabling efficient automated processing.
Data Source
AI summary
A content delivery network-oriented method of displaying an information is provided, which may be applied to a field of Internet technology, and in particular to a field of content delivery network technology. The method includes: acquiring a business configuration information in response to a detection that a configuration control on a display page is triggered, where the business configuration information includes a business domain name and a configuration parameter; acquiring a task information in response to an operation for an abnormal resource information being detected, where the abnormal resource information is determined according to the business domain name and the configuration parameter; and displaying a processing result for the abnormal resource information according to the task information.