Automated CDN Coverage Scheme Generation
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Solution Overview
Problem
Current CDN coverage schemes require manual maintenance, leading to heavy workloads, low adjustment efficiency, high artificial failure rates, and unreasonable service quality due to the lack of automated service quality evaluation standards.
Innovation Solution
A method and device for generating a CDN coverage scheme that automatically calculates node quality evaluation data and generates an optimal coverage scheme based on predefined parameters, reducing manual maintenance and improving service quality by selecting nodes with the highest quality scores until node bandwidth capacity matches area bandwidth capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual maintenance mode is used for CDN coverage schemes, then configuration flexibility is maintained, but workload increases and adjustment efficiency decreases
Solution Approach 1:
The system performs self-evaluation of node quality and automatically generates coverage schemes without manual intervention. The evaluation module autonomously collects node data, calculates quality metrics, and the generation module automatically creates optimized coverage schemes, enabling the system to serve itself and eliminate manual maintenance workload.
Solution Approach 2:
The patent replaces manual mechanical operations with automated computational systems. Instead of manual configuration and adjustment, the system uses evaluation modules to calculate node quality and generation modules to automatically produce coverage schemes, substituting human labor with automated information processing.
2Reliability
If manual configuration is used for CDN coverage schemes, then implementation simplicity is maintained, but artificial failure rate increases
Solution Approach 1:
The system implements feedback mechanisms where node quality is continuously evaluated based on performance data, and coverage schemes are automatically adjusted based on evaluation results. This closed-loop feedback ensures high reliability by continuously optimizing the system based on actual performance rather than static manual configuration.
Solution Approach 2:
The automated evaluation and generation system eliminates human error by performing all configuration tasks autonomously. The system self-monitors node quality, self-evaluates performance, and self-adjusts coverage schemes, removing the source of artificial failures associated with manual configuration.
3Reliability
If automated node quality evaluation is implemented, then service quality improves, but system complexity increases
Solution Approach 1:
The system divides the complex task of coverage scheme management into distinct modular components: an evaluation module that assesses node quality, a generation module that creates coverage schemes, and a scheduling module that implements them. This segmentation reduces system complexity by making each component independent and manageable while maintaining overall service quality.
Data Source
AI summary
A method for generating a content delivery network (CDN) coverage scheme includes determining that a target area meets a node quality re-evaluation condition, calculating node quality evaluation data in the target area, calculating an area coverage list according to the node quality evaluation data and one or more node coverage parameters, and generating a coverage scheme of the target area according to the area coverage list and one or more area coverage parameters.