CDN Node Allocation via Physical Scene Quality Scores

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Solution Overview

Problem

Existing CDN node selection methods based on load and cost do not ensure high-quality network services for users.

Innovation Solution

A CDN node allocation method that pre-establishes a node quality score table mapping physical scenes to CDN node quality scores, allowing for the selection of the highest-quality CDN node based on the target physical scene and network request.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If CDN node selection is based on load and cost, then resource utilization is improved, but service quality cannot be ensured

Engineering Contradiction:
Improveresource utilizationVSAvoidservice quality
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The patent introduces a quality score parameter that dynamically changes based on physical scene characteristics (network type, terminal type, application type). By changing the selection parameter from static load/cost metrics to dynamic quality scores, the system simultaneously optimizes resource utilization and ensures service quality across different physical scenarios.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent makes the CDN node selection dynamic by introducing physical scene awareness. The quality score table is dynamically queried based on real-time physical scene parameters, allowing the system to adapt node selection to changing network conditions, terminal capabilities, and application requirements, thereby maintaining both efficiency and quality.

Inventive Principle:
Principle #15Dynamics

2Device complexity

If a single CDN node type is selected for all users, then system complexity is reduced, but service quality varies across different physical scenes

Engineering Contradiction:
Improvesystem complexityVSAvoidservice quality consistency
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The patent applies local quality by creating different quality score tables for different physical scenes (e.g., mobile vs. fixed network, different terminal types, different application types). Each scene has its own optimized quality criteria, allowing the system to maintain low complexity while achieving high service quality consistency across diverse environments.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent segments the CDN node selection into multiple quality score tables based on physical scene characteristics. Instead of a single universal selection criterion, the system divides selection strategies into scene-specific segments, which simplifies the decision-making process for each scenario while ensuring appropriate service quality for each segment.

Inventive Principle:
Principle #1Segmentation

3Speed

If CDN node selection does not consider physical scene, then allocation speed is improved, but user experience with latency and lags deteriorates

Engineering Contradiction:
Improveallocation speedVSAvoiduser experience latency
Core Design Contradiction:
SpeedVSLoss of time

Solution Approach 1:

The patent performs preliminary action by pre-building quality score tables for different physical scenes before actual node selection occurs. When a user request arrives, the system only needs to query the pre-computed quality score table based on physical scene parameters, which maintains fast allocation speed while incorporating comprehensive quality considerations that reduce latency and improve user experience.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20250039278A1CDN node allocation method and apparatus, electronic device, medium and program product
Publication Date: 2025.01.30 DOUYIN VISION CO LTD
  • US20250039278A1 patent drawing
  • US20250039278A1 patent drawing
  • US20250039278A1 patent drawing

AI summary

The present application relates to a CDN node allocation method and apparatus, an electronic device, a medium and a program product, which are applied to the technical field of the Internet. The method includes: acquiring a target physical scene corresponding to a target network request; determining, according to the target physical scene and a pre-established node quality score table, target quality scores of a plurality of types of CDN nodes corresponding to the target physical scene; evaluating the quality of the plurality of types of CDN nodes according to the target quality scores of the plurality of types of CDN nodes to obtain a quality evaluation result; and selecting, according to the number of nodes corresponding to a plurality of types of candidate CDN nodes in a candidate CDN node set and the quality evaluation result, a CDN node of a target type from the candidate CDN node set.