Edge Configuration Server Selection for Application Context Relocation
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Solution Overview
Problem
Existing systems face challenges in selecting appropriate edge enabler servers (EES) and edge application servers (EAS) during application context relocation (ACR) to ensure seamless service continuity and optimal performance, especially when terminal devices move between service areas.
Innovation Solution
A communication method and apparatus that enables an edge configuration server (ECS) to determine an appropriate EES and EAS based on indication information, considering ACR type, instantiation status, and time information to facilitate efficient application context relocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If the ECS obtains target EES and EAS information through discovery procedures, then the system can perform application context relocation, but the service interruption time increases and selection efficiency decreases
Solution Approach 1:
The ECS pre-obtains and stores EES and EAS information from multiple EESs before actual context relocation is needed. This preliminary information gathering eliminates the need for time-consuming discovery procedures during critical relocation moments, directly reducing service interruption time while maintaining high selection efficiency.
Solution Approach 2:
The patent introduces a mechanism where the ECS acts as an intermediary that caches and manages EES-EAS mapping relationships. This intermediary structure allows rapid selection of target EESs without requiring real-time discovery procedures, thus improving both time efficiency and selection productivity.
2Reliability
If the ECS selects EES based on multiple factors including instantiation status and time information, then the suitability of selected EES improves, but the selection complexity increases
Solution Approach 1:
The patent transforms the complex selection process into a parameter-based decision framework. The ECS evaluates EES candidates by changing and comparing specific parameters such as instantiation status (instantiated vs. instantiable) and time information (execution time vs. instantiation time). This parameterization simplifies the selection logic while maintaining high reliability through systematic comparison of standardized criteria.
Solution Approach 2:
The patent applies different selection criteria to different scenarios based on local quality principles. For service continuity planning, the system prioritizes instantiated EASs; for normal ACR, it considers both instantiated and instantiable EASs. This localized adaptation of selection quality to specific operational contexts improves reliability without requiring complex universal selection algorithms.
3Adaptability or versatility
If the system supports both instantiated and instantiable EAS selection, then the adaptability to different ACR types improves, but the decision-making complexity increases
Solution Approach 1:
The patent implements a dynamic selection mechanism where the ECS adapts its decision-making process based on the ACR type. The system dynamically adjusts which EESs to consider (instantiated only vs. both instantiated and instantiable) based on the specific requirements of service continuity planning versus normal ACR. This dynamic adaptation improves versatility while managing complexity through conditional logic rather than complex unified algorithms.
Data Source
AI summary
A communication method and a communication apparatus, wherein the method includes: A second edge enabler server EES or an edge enabler client EEC sends first indication information, and correspondingly, an edge configuration server ECS receives the first indication information. The ECS determines, based on the first indication information, an EES corresponding to a target EAS of application context relocation corresponding to an application.