Mobility Policy-Based Computing Site Selection in 5G Cloud-Edge Networks
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Solution Overview
Problem
Existing technologies fail to effectively implement cloud-edge collaboration in 5G systems by re-selecting computing sites based on network states and user requirements, limiting the flexibility and efficiency of computing resource allocation.
Innovation Solution
An information processing method and apparatus that utilizes mobility control policies to facilitate the re-selection of computing sites, involving network functions and devices to manage and orchestrate computing power resources across cloud and edge environments, ensuring optimal connectivity and resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the cloud computing center matches the optimal computing resource based on network state and computing power state, then the computing resource allocation is optimized, but this manner is not applicable to cloud-edge collaboration in 5G systems
Solution Approach 1:
The patent segments the computing site selection process into multiple independent components: terminal device initialization, access network node selection, computing site determination, and session establishment. Each component operates independently but coordinates through standardized interfaces, enabling the system to adapt to cloud-edge collaboration scenarios without requiring complete system redesign.
Solution Approach 2:
The patent introduces an access network node as an intermediary between the terminal device and the computing site. This intermediary receives mobility control policies, determines appropriate computing sites based on network state, and coordinates session establishment, thereby bridging the gap between cloud computing resources and edge devices in 5G systems.
2Productivity
If computing site re-selection is implemented in cloud-edge collaboration, then the flexibility and efficiency of computing resource allocation is enhanced, but the system requires coordination between multiple network functions and devices
Solution Approach 1:
The access network node is designed with multi-functionality, serving both as a traditional access point and as a computing site selector. It receives mobility control policies, determines computing sites, and establishes sessions, thereby reducing the need for separate dedicated components and simplifying the overall system architecture despite the enhanced functionality.
Solution Approach 2:
The terminal device performs preliminary actions by obtaining mobility control policies and accessing network state information before computing site selection. This preliminary preparation enables the access network node to make faster, more efficient decisions during actual computing resource allocation, improving overall productivity without adding complexity during critical operations.
3Reliability
If mobility control policies are used to guide computing site selection, then the system stability is improved, but the information processing requires coordination between multiple network functions
Solution Approach 1:
The system implements feedback mechanisms where terminal devices report network state information to access network nodes, which then adjust mobility control policies based on this feedback. This closed-loop control ensures system stability by continuously adapting to changing conditions while maintaining coordinated information processing across network functions through standardized feedback channels.
Data Source
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AI summary
The present application relates to the technical field of communications, and provides an information processing method and apparatus and a communication device. The method is executed by a communication device and comprises an information processing method which is executed by a first network function and comprises: receiving a mobility control policy sent by a second network function; and sending information to a target device according to the mobility control policy, wherein the information is used for the target device to execute a computing site selection processing flow.