Mingxuan Li

[Objective] This paper introduces an edge scheduling mechanism of UPF based on a programmable network which realizes unified scheduling of the network element function and UPF in the open-source network operating system. This method aims to sink the UPF to the edge open network equipment, forming the integration of UPF network elements and the programmable network in the edge scenario. Most of the existing network devices provide only limited network access methods and network functions and fail to satisfy the diverse needs of edge scenarios. [Methods] Starting from the SONiC, which is the mainstream open-source network operation, based on the container technology to realize the scheduling capabilities of network functions and the integration method of UPF, the cloud-native way to realize the integration of resource scheduling scheme of SONiC and UPF is explained. [Results] Based on this solution, the UPF is sinking to the programmable network device for unified scheduling and management in the edge scenario. The feasibility analysis of the mechanism is done. [Limitations] As the overall technical architecture of UPF edge scheduling based on programmable networks, it realizes the deployment and scheduling of UPF network elements on the edge side network equipment. How to realize remote management and how to build a deterministic network and achieve cloud-side collaborative computing resource management through this solution are still open issues to be solved. [Conclusions] The UPF edge dispatching scheme based on the programmable network can be widely used in the Internet of Things, Internet of Vehicles, smart cities, and other fields, further enhancing openness and computing power dispatching ability of the network on the edge side, and solving the edge-side practical problems such as lack of network connectivity and computing power faced by the intelligent industry.

In 6G era, service forms in which computing power acts as the core will be ubiquitous in the network. At the same time, the collaboration among edge computing, cloud computing and network is needed to support edge computing service with strong demand for computing power, so as to realize the optimization of resource utilization. Based on this, the article discusses the research background, key techniques and main application scenarios of computing power network. Through the demonstration, it can be concluded that the technical solution of computing power network can effectively meet the multi-level deployment and flexible scheduling needs of the future 6G business for computing, storage and network, and adapt to the integration needs of computing power and network invarious scenarios, such as user oriented, government enterprise oriented, computing power open and so on.

[Objective] This paper introduces a network organization method for computing power network to satisfy business needs, which is able to flexibly schedule and allocate computing resources among clouds, networks, and edge devices. This approach aims to schedule and manage a wider range of computing resources in a unified framework. At the edge of the network, due to the large number of embedded devices and their different architectures, it is difficult for the existing resource scheduling methods to meet the demand of computing power. [Methods] Starting from the computing network architecture and based on the cloud-native resource scheduling mechanism, a lightweight, multi-cluster hierarchical edge resource scheduling scheme is described. [Results] Based on the lightweight cloud-native platform, we successfully manage and deploy a massive amount of hetero-architecture edge devices inside computing power networks in a unified framework. [Limitations] As a unified resource scheduling platform for front-end equipment in the “cloud, edge, and end” designed for computing power networks, it is important to solve the problems of implementing cloud-side collaboration, deploying artificial intelligence algorithms in front-end embedded clusters and making front-end equipment more autonomy. [Conclusions] The front-end embedded resource scheduling solution for computing power networks can be widely used in the Internet of Things, Internet of Vehicles, smart cities and other fields to improve the autonomous processing capabilities of the front-end equipment, and solve other practical problems such as the lack of innovation capabilities and insufficient supports in intelligent industry of China.

With the large-scale deployment of 5G networks, the SBA architecture of the 5G core network has changed the traditional network architecture and truly realized the service-oriented next-generation network architecture. The article analyzes the key features of cloud native and proposes a cloud-based micro-service architecture that is naturally adapt to the SBA. The solution of the 5G core network is specially explain, and the future 5G core network evolution ideas are analyzed from the perspective of the existing network.

Based on the existing IT resources and business situation of telecom operators, this paper puts forward the overall scheme oriented micro service of IT resource and resource integration for telecom operators. On this basis, the whole process of telecom operators’ on-line operation and maintenance management are elaborated. In addition, the business application running in the actual production environment is imitated through the overall solution in the virtual environment, and the verification obtains satisfactory results and experimental data.