Enhanced DNS Edge Cloud Routing
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Solution Overview
Problem
Current data networks face challenges in efficiently directing client requests to optimal Edge Cloud locations that meet application requirements, such as minimizing latency and maximizing bandwidth, due to the dynamic nature of user locations and the lack of comprehensive network topology utilization.
Innovation Solution
The implementation of an Enhanced DNS system that utilizes network topology and utilization knowledge to redirect client requests to Edge Cloud locations by identifying suitable servers based on application requirements, device groups, and network constraints, such as latency and bandwidth, through the use of Enhanced DNS network elements and mobility packet core metadata.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional DNS service is used to direct client requests, then the system is simple and easy to operate, but it cannot efficiently route requests to optimal Edge Cloud locations that meet application requirements
Solution Approach 1:
The DNS service is segmented into traditional DNS functionality and enhanced routing functionality. The enhanced DNS server separates the basic domain resolution task from the complex optimization task of selecting Edge Cloud locations, allowing each component to specialize and improve overall efficiency without overwhelming complexity
Solution Approach 2:
An enhanced DNS server acts as an intermediary between clients and Edge Cloud locations. This mediator receives DNS queries, evaluates multiple factors including network topology and application requirements, and intelligently redirects requests to optimal servers, thereby improving routing efficiency while managing complexity through a dedicated intermediate component
2Reliability
If client requests are redirected to optimal Edge Cloud locations based on multiple parameters, then application requirements are satisfied, but the DNS service complexity increases
Solution Approach 1:
The DNS service dynamically adapts to changing conditions by evaluating multiple parameters in real-time, including network topology, current server load, and application-specific requirements. This dynamic approach ensures reliable satisfaction of application requirements while the system automatically adjusts to maintain optimal performance without manual intervention
Solution Approach 2:
The enhanced DNS server changes multiple parameters simultaneously when routing decisions are made, including geographic location, network proximity, server capacity, and application requirements. By coordinating changes across these parameters, the system achieves reliable requirement satisfaction while managing complexity through multi-parameter optimization rather than simple rule-based routing
3Productivity
If network topology and utilization knowledge are utilized for request redirection, then network resource utilization improves, but the system complexity increases
Solution Approach 1:
The enhanced DNS server implements feedback mechanisms by continuously monitoring network topology and utilization information, then using this feedback to make intelligent routing decisions. This feedback loop improves network resource utilization by directing traffic to underutilized servers and optimal locations, while the automated nature of the feedback process manages system complexity without requiring manual network management
Data Source
AI summary
Methods, systems, and apparatuses, among other things, may direct client requests to an Edge Cloud location satisfying application requirements associated with the request. Moreover, a domain name service (DNS) query may be received, one or more requests associated with DNS query may be determined, a server may be identified based on the one or more requests, and the DNS query may be redirected to the identified server.