A distributed edge cloud system architecture

Abstract

The invention belongs to the technical field of edge cloud computing systems, and discloses a distributed edge cloud system architecture. The architecture comprises an edge node, an edge computing intelligent brain platform layer and an edge security boundary layer, wherein the edge node communicates with the edge computing intelligent brain platform layer through an edge private network; an intelligent brain platform of the edge computing intelligent brain platform layer is in butt joint with a plurality of different edge nodes to realize distributed deployment; data are acquired through external terminal equipment accessed by the edge node and uploading the data to the edge node for processing; the edge computing intelligent brain platform layer communicates with the center cloud or theindustry cloud through the edge security boundary layer; the edge security boundary layer serves as an interface for communication between the edge cloud system and the center cloud or the industry cloud and is used for guaranteeing the communication security between the edge cloud and the center cloud or the industry cloud; the system architecture has the characteristics of low time delay and high security, and meets the requirements of agile connection, real-time service, data optimization, intelligent application, security and privacy protection.

Description

technical field [0001] The invention belongs to the technical field of cloud computing, and more specifically relates to a distributed edge cloud system architecture. Background technique [0002] The traditional cloud center solution consists of a large number of network resources, storage resources and computing resources, providing software level (SaaS), platform level (PaaS), database level (DaaS), infrastructure level (IaaS); servers, storage, Networks, applications, etc. all use virtualization technology, so that users can call various resources on demand. This kind of central cloud technical solution, storage and application resources are all in the cloud, which brings great security risks to the storage and use of user data; and there is time delay, because each service request of the user is provided by the cloud, it is difficult to It is especially obvious in the industrial field to meet the needs of high real-time services; on the other hand, due to the large amo...

AI Technical Summary

Problems solved by technology

This kind of central cloud technical solution, storage and application resources are all in the cloud, which brings great security risks to the storage and use of user data; and there is time delay, because each service request of the user is provided by the cloud, it is difficult to Meet the needs of high real-time business, especially in the industrial field; on the other hand, due to the large number of network, storage and computing resources, it requires high construction costs

[0003] With the rapid development of 5G and Internet of Things technologies, the services provided by the central cloud cannot meet the requirements of "large connection, low latency, and large bandwidth" on the terminal side; there is an urgent need to provide a core capability that integrates network, computing, storage, and application The distributed open platform provides services nearby to meet the key needs of industry digitalization in terms of agile connection, real-time business, data optimization, application intelligence, security and privacy protection; edge cloud is proposed to solve these problems, and the edge computing industry The alliance and the Industrial Internet Industry Alliance launched the "Edge Computing Reference Framework 3.0" that defines the edge computing framework, and the "Edge Computing Industry Alliance White Paper"

[0004] However, the edge cloud solutions proposed by these existing technologies still have room for improvement; in terms of security and privacy: due to the general storage and computing capabilities of the edge nodes themselves, most data is stored in the central cloud or edge data center, rather than in the user's side, out of the direct control of the user, with security risks

Although the operator solution can provide an edge data center outside the central cloud, it is highly dependent on operator resources such as base stations, and it is difficult for other users to independently deploy such solutions

In addition, the existing edge cloud framework adopts a one-layer structure near the edge of the device, including edge nodes or edge gateways to provide computing and processing capabilities. Under this architecture, tasks with high computational complexity, such as machine learning and deep learning, require Deploying edge nodes with higher computing power will make the system bloated and increase the cost; and if such complex tasks are submitted to the central cloud for processing, it will increase the communication pressure and increase the network due to Latency caused by data access and data transmission

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