Edge Application Relocation With Predictive Service Continuity
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Solution Overview
Problem
Existing edge application relocation systems lack timely and accurate determination of relocation triggers, target node selection, and coordination among multiple applications and UEs, leading to service interruptions and inefficiencies.
Innovation Solution
The introduction of Service Continuity Assistance (SCA) functionality for proactive edge application relocation, including relocation target prediction and selection, defining relocation triggers, proactive relocation, and multi-application/multi-UE joint relocation, to enhance service continuity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing service continuity support is used for edge application relocation, then basic relocation capability is provided, but timely and accurate determination of relocation trigger and target node is lacking
Solution Approach 1:
The patent implements preliminary action by predicting the target edge node and relocation timing before the actual relocation occurs. The network device determines candidate target nodes in advance based on UE mobility patterns and service requirements, prepares the target edge node beforehand, and triggers relocation only when predicted conditions are met, thereby achieving both timely execution and accurate trigger determination
Solution Approach 2:
The patent employs feedback mechanisms where the network device continuously monitors UE location, mobility status, and service quality metrics. This real-time feedback enables dynamic adjustment of relocation triggers and target node selection, ensuring accurate determination of when and where to relocate edge applications based on actual system state rather than static pre-configuration
2Adaptability or versatility
If existing edge application relocation is implemented, then single application relocation is supported, but coordination of multiple applications on same UE or multiple UEs is lacking
Solution Approach 1:
The patent merges the relocation management of multiple applications and UEs into a unified coordination framework. The network device aggregates relocation requests from multiple sources, identifies common target nodes that can serve multiple applications or UEs simultaneously, and executes coordinated relocation operations. This combining approach enables multi-application and multi-UE support while managing system complexity through centralized intelligent decision-making
3Reliability
If proactive relocation with pre-relocation is implemented, then service continuity is enhanced, but system complexity and resource overhead increase
Solution Approach 1:
The patent implements preliminary action by predicting the target edge node and relocation timing before the actual relocation occurs. The network device determines candidate target nodes in advance based on UE mobility patterns and service requirements, prepares the target edge node beforehand, and triggers relocation only when predicted conditions are met, thereby achieving both timely execution and accurate trigger determination
Solution Approach 2:
The patent utilizes parameter changes by dynamically adjusting relocation prediction parameters such as mobility thresholds, service quality thresholds, and timing parameters based on historical data and real-time conditions. This allows the system to adapt the degree of proactiveness and resource allocation to match actual service needs, enhancing reliability while controlling complexity through intelligent parameter management rather than rigid system expansion
Data Source
AI summary
Disclosed herein is service continuity assistance (SCA) functionality that may assist in the relocation of edge application server instance between different edge nodes in the system. The procedures may include: 1) edge application relocation target prediction and selection; 2) defining and generating relocation trigger; 3) proactive relocation; or 4) multi-application and multi-UE joint relocation.