Multi-CDN Edge Management for Consistent Cross-CDN Services
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Solution Overview
Problem
Existing Multi-CDN systems struggle with inconsistent service delivery and lack of unified management across different CDN providers, leading to suboptimal performance and increased costs.
Innovation Solution
Implementing edge computing technology to enable unified services across multiple CDNs, allowing for consistent service delivery and management through a unified management system, which includes edge compute layers and worker agents to execute custom code and manage services across platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple different CDNs are employed to augment performance and ensure redundancy, then reliability and performance are improved, but service consistency and management complexity deteriorate
Solution Approach 1:
The patent merges multiple CDN management functions into a unified management system that consolidates control over different CDN providers. This unified system aggregates management operations, provides centralized monitoring, and coordinates traffic distribution across multiple CDNs, thereby reducing management complexity while maintaining the reliability benefits of multi-CDN architecture.
Solution Approach 2:
The unified management system performs multiple functions including traffic distribution, performance monitoring, error handling, and cost optimization across different CDN providers through a single system. This multi-functional approach eliminates the need for separate management systems for each CDN, reducing overall complexity while maintaining reliability.
2Reliability
If multiple different CDNs are employed to ensure redundancy, then reliability is improved, but service consistency across CDNs deteriorates
Solution Approach 1:
The unified management system continuously monitors performance metrics from multiple CDNs and uses this feedback to dynamically adjust traffic distribution. When inconsistencies or errors are detected in service delivery across different CDNs, the system automatically redistributes traffic to maintain consistent service quality, ensuring reliability while preserving service consistency.
Solution Approach 2:
The system changes operational parameters such as traffic routing decisions, caching strategies, and error handling mechanisms dynamically based on real-time performance data from different CDNs. This adaptive parameter adjustment ensures that service consistency is maintained across varying CDN conditions while preserving redundancy benefits.
3Ease of operation
If edge computing technology is utilized to enable unified services, then service consistency and management ease are improved, but system complexity and cost deteriorate
Solution Approach 1:
The unified management system acts as an intermediary layer between the user and multiple CDN providers, abstracting the underlying complexity of different CDN architectures. This intermediary consolidates the complexity of managing multiple CDNs with edge computing capabilities into a single manageable interface, improving ease of operation while containing system complexity within the management system boundaries.
4Reliability
If traffic management tools are used to distribute content across CDNs, then redundancy is achieved, but service performance and cost efficiency deteriorate
Solution Approach 1:
The unified management system uses real-time performance feedback from multiple CDNs to dynamically optimize traffic distribution. By continuously monitoring metrics such as latency, throughput, and error rates, the system adjusts traffic routing to maximize service performance while maintaining redundancy, overcoming the limitations of static traffic management tools.
Solution Approach 2:
The system dynamically changes traffic distribution parameters based on real-time performance data, optimizing content delivery paths to improve service performance. This adaptive parameter adjustment allows the system to maintain redundancy while achieving superior performance compared to fixed traffic management approaches.
Data Source
AI summary
Systems and methods for managing, unifying, or upgrading Multi-Content-Delivery-Networks (Multi-CDNs) are disclosed. A system for enabling a Multi-CDN to provide one or more unified services, where the Multi-CDN includes multiple different CDNs provided by multiple different CDN providers, where one CDN of the multiple CDNs employs edge computing technology enabling a user of the Multi-CDN to execute custom code on platforms of the at least one respective CDN, includes at least one hardware processor and at least one computer readable storage device storing instructions for execution by the at least one hardware processor. The instructions, when executed, cause the system to enable the Multi-CDN to provide one or more unified services across the multiple different CDNs by utilizing the edge computing technology employed by the at least one CDN, where each unified service of the one or more unified services provides a consistent service across the multiple different CDNs.