DNS Policy Routing for Low-Latency Edge Server Selection
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Solution Overview
Problem
Existing technologies face challenges in selecting an optimal Edge Application Server (EAS) for edge computing services, leading to suboptimal service latency and data routing in scenarios like Internet of Vehicles, industrial control, augmented reality, and virtual reality, due to high network latency and the need for lower processing latency and higher processing power.
Innovation Solution
A route selection method for an EAS involving a terminal that receives a DNS information indication from a first network function, executes a DNS policy decision, and sends a DNS query request to a second network function to select an EAS, considering network slice identifiers, types, Data Network Names, and regional locations, ensuring efficient edge computing services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional DNS query methods are used for EAS selection, then the system is simple to operate, but the service latency is high and routing efficiency is poor
Solution Approach 1:
The patent applies preliminary action by pre-configuring DNS information indications (including EAS addresses, network slice identifiers, and data network names) in the terminal before actual service requests. When a service request arrives, the terminal can immediately perform DNS policy decisions using pre-stored information, avoiding real-time complex queries and reducing service latency significantly.
Solution Approach 2:
The patent introduces a DNS information indication as an intermediary element that carries routing information from the network to the terminal. This intermediary structure enables the terminal to make intelligent DNS policy decisions without directly complex interactions with multiple network functions, simplifying the overall system while improving routing efficiency.
2Measurement precision
If multiple DNS query requests are sent to different network functions, then the EAS selection accuracy is improved, but the network signaling overhead increases
Solution Approach 1:
The patent applies partial action by sending only the necessary DNS query request to the most appropriate network function based on pre-configured DNS information indications, rather than exhaustively querying multiple network functions. The terminal uses stored information to determine the optimal single target for DNS queries, achieving accurate EAS selection while minimizing network signaling overhead.
Solution Approach 2:
The patent implements feedback mechanisms where the network provides DNS information indications to the terminal in advance, and the terminal provides feedback through DNS query requests. This feedback loop enables the system to achieve accurate EAS selection with minimal back-and-forth signaling, as the terminal's pre-configured information guides its queries efficiently.
3Productivity
If the terminal performs DNS policy decision locally, then the routing efficiency is improved, but the terminal processing complexity increases
Solution Approach 1:
The patent enables self-service by allowing the terminal to autonomously perform DNS policy decisions using pre-configured DNS information indications. The terminal independently determines which DNS query request to send and to which network function, without requiring complex real-time network coordination. This self-service capability improves routing efficiency while keeping terminal processing complexity manageable through pre-provisioned information.
Data Source
AI summary
A route selection method for an Edge Application Server (EAS) is provided, the method is performed by a terminal, and includes: receiving a Domain Name System (DNS) information indication sent by a first network function; executing a DNS policy decision based on the DNS information indication; and sending a DNS query request to a second network function based on the decision, where the DNS query request is used to request the second network function to select an EAS.