A novel architecture of edge computing system

Abstract

The invention discloses an edge computing system with a new architecture, which relates to the field of edge computing. The system at least includes a cloud layer deployed in a cloud data center and an edge layer deployed in an edge node; the cloud layer includes a cloud control module, and the edge layer includes an edge layer Module, the edge module includes at least Rocket component, Meta Manager component and edge message channel; the edge module communicates with the cloud control module through the edge message channel; the system is based on lightweight containerization technology, providing a stable and reliable edge The software deployment and orchestration system, combined with the advantages of cloud-edge collaboration and edge autonomy, can effectively reduce personnel intervention in edge-side software orchestration and deployment, reduce the difficulty of edge-side software operation and maintenance, and solve the problems faced by edge computing, such as cloud-edge collaboration, Network, management, expansion, heterogeneity and other technical challenges.

Description

technical field [0001] The present invention relates to the field of edge computing, in particular to an edge computing system with a new architecture. Background technique [0002] Edge computing is a distributed computing architecture. It is applied in many IoT scenarios (smart home, industrial automation, smart city, etc.) and non-IoT scenarios (community, CDN, etc.). The calculation of the service is moved from the cloud data center to the logical edge node of the network for processing. The edge node refers to the computing resource node that is geographically distributed closer to the hardware device and relatively far away from the cloud data center, so it can speed up the data processing and transmission speed. Reduce latency. In practical applications, edge computing is required to have a stable and reliable software orchestration and deployment solution. In different network scenarios, the edge end has both cloud-edge collaboration requirements and edge autonomy. ...

AI Technical Summary

Problems solved by technology

[0004] The kubeedge architecture includes two parts: the computing side and the edge side. The computing side is responsible for delivering applications and configurations, while the edge side is responsible for running edge applications and managing access devices. The kubeedge architecture is expanded from cloud computing deployment solutions, emphasizing cloud capabilities , in this solution, edge computing cannot exist alone, and it must be connected with a remote data center. The demand for network resources on the edge side is high. After the edge side loses connection with the cloud side, it will lose the ability to manage and control. In poor or even no network environment There are many defects in the scene (for example: shield machine excavation scene, etc.)

[0005] The k3s architecture is streamlined from the cloud computing deployment solution, emphasizing edge capabilities. In this solution, the edge side has complete autonomy capabilities, but the collaboration ability with the cloud side is poor, operation and maintenance management is inconvenient, and scalability is poor.

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