CDN IP Segment Quality Assessment for Unified Service Scheduling
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Solution Overview
Problem
Existing IP quality assessment in CDNs has a limited scope, lacks unified indicators across different service scenarios, and is costly, making it difficult to optimize user access and improve user experience due to fragmented data and inconsistent quality assessment.
Innovation Solution
A method and apparatus for IP quality data processing in CDNs that collects data samples from multiple sources, determines IP address segments, and calculates quality values based on various indicators, enabling comprehensive quality assessment and scheduling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If IP quality assessment is performed using traditional methods with limited scope, then the assessment process is simple, but the coverage and applicability across different service scenarios are insufficient
Solution Approach 1:
The patent creates a unified IP quality indicator system that serves multiple service scenarios (video, audio, download, etc.) through a single framework. The system defines universal indicators including quality values, quality thresholds, and quality levels that can be applied across different CDN service types, eliminating the need for separate assessment systems for each service scenario.
Solution Approach 2:
The patent segments IP quality assessment into distinct components: quality indicators (download speed, buffer ratio, freeze rate, etc.), quality levels (excellent, good, medium, poor), and quality thresholds. This segmentation allows the system to handle different service scenarios by selecting and combining appropriate indicators while maintaining a unified assessment framework.
2Productivity
If service data from different scenarios is scattered in separate data sets, then each data set can be managed independently, but the query and manual aggregation cost increases significantly
Solution Approach 1:
The patent merges scattered service data from different scenarios into a unified data structure that includes IP address, quality indicators, quality levels, and timestamps. This unified structure enables centralized storage and automated processing, eliminating the need for manual data aggregation across multiple separate data sets and significantly improving query efficiency.
Solution Approach 2:
The system implements automated data aggregation and processing mechanisms that automatically collect, standardize, and aggregate IP quality data from various service scenarios without requiring manual intervention. The automated system performs data cleaning, validation, and consolidation, reducing both time and labor costs associated with manual data aggregation.
3Measurement precision
If comprehensive IP quality assessment with multiple indicators is implemented, then the assessment accuracy improves, but the data processing complexity and cost increase
Solution Approach 1:
The patent applies different quality indicators and weighting schemes based on specific service scenarios and IP address segments. Instead of uniformly applying all indicators to all assessments, the system selectively applies relevant indicators (e.g., buffer ratio for video, download speed for file transfers) and adjusts quality thresholds according to local requirements, reducing processing complexity while maintaining assessment accuracy.
Solution Approach 2:
The system dynamically adjusts quality thresholds and indicator weights based on service types, time periods, and network conditions. By changing parameters adaptively rather than using fixed values, the system achieves high assessment accuracy across diverse scenarios while simplifying the processing logic through parameterized configurations rather than complex hard-coded rules.
Data Source
AI summary
Embodiments of the present disclosure provide solutions for Internet Protocol (IP) quality data processing in a content delivery network (CDN). In a solution, a plurality of data samples are collected from at least one data source related to a CDN, at least one IP address segment is determined from the plurality of data samples, each IP address segment corresponding to an IP address range of a service node in the CDN, a group of data samples related to the IP address segment are selected from the plurality of data samples for each of the at least one IP address segment, and a quality value of the IP address segment in terms of a plurality of quality indicators is determined for each of the at least one IP address segment based on transmission performance data included in the group of data samples related to the IP address segment.