Edge Application Server Management for Low-Latency IMS Services
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Solution Overview
Problem
Existing network architectures struggle to achieve ultra-low latency required for applications like AR/VR due to complex data management and resource utilization, particularly when deploying IMS at the edge cloud, leading to inefficient bandwidth and resource usage.
Innovation Solution
A management function module, such as RCS-MF, dynamically manages calling function instances and application servers on network edge computing devices, deploying them based on predetermined policies to ensure ultra-low latency and efficient resource use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If application servers are deployed on network edge computing device, then latency is reduced, but device complexity increases
Solution Approach 1:
The patent segments the IMS network architecture by deploying specific network elements (application servers, calling function instances) on edge computing devices while keeping other elements in the core network. This selective segmentation reduces latency for edge-located services while maintaining overall system manageability through distributed architecture.
Solution Approach 2:
The patent introduces a new dimensional aspect to network architecture by adding edge computing layers between the core network and terminal devices. This creates a multi-dimensional network structure (core network + edge computing + terminal) that enables low-latency services without overcomplicating the core network infrastructure.
2Adaptability or versatility
If multiple application servers are deployed on edge computing device, then service capability is improved, but resource utilization becomes inefficient
Solution Approach 1:
The patent implements dynamic management of application servers on edge computing devices through automated deployment and retrieval mechanisms. The system dynamically deploys application servers based on actual service demands and retrieves them when no longer needed, transforming the static edge computing resource model into a dynamic one that adapts to changing service requirements.
Solution Approach 2:
The patent changes the operational parameters of edge computing devices by controlling the presence and absence of application servers based on service requirements. This parameter-based management (deploying/retrieving servers) allows the system to optimize resource utilization by adjusting the computational footprint of edge devices according to actual service capabilities needed.
3Manufacturing precision
If manual management of application servers is used, then deployment control is precise, but management operation becomes complex
Solution Approach 1:
The patent implements self-service mechanisms where the system automatically manages the deployment, configuration, and retrieval of application servers on edge computing devices. The automated management system performs these operations autonomously based on service requirements, eliminating the need for manual intervention while maintaining precise deployment control through programmed policies and algorithms.
Solution Approach 2:
The patent incorporates feedback mechanisms that monitor service demands and automatically trigger application server deployment or retrieval operations. The system continuously receives feedback about service requirements and adjusts the edge computing resource allocation accordingly, enabling precise deployment control through automated decision-making based on real-time network conditions and service performance metrics.
Data Source
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AI summary
Embodiments of the present disclosure relate to a method, apparatus, device and computer readable storage media for management of application servers network edge computing device and a method, apparatus, device and computer readable storage media for performing management operation related to application servers network edge computing device. In example embodiments, at a management function module, a calling function deployment command is transmitted to a network edge computing device to deploy a calling function instance thereon, the calling function instance being configured to connect with application servers for respective applications and handle communications between terminal devices and the application server. A management command for application servers on the network edge computing device is transmitted to at least one of the network edge computing device and the calling function instance, in response to a network condition meeting one of predetermined management policies. In this way, the strict latency requirement of particular applications can be met and resources can be utilized efficiently.