Automatic cloud converging system of hyper-converged micro cloud data center

Abstract

The invention provides an automatic cloud converging system of a hyper-converged micro cloud data center. The system comprises a central cloud management system which performs functions of realizing converged cloud accessing of the hyper-converged micro cloud data center, monitoring resource information of the hyper-converged micro cloud data center, and performing resource scheduling between micro data centers; a hyper-converged micro cloud data center and a micro cloud management system thereof, wherein the hyper-converged micro cloud data center supplies service interfaces in three directions, namely 1), a cloud converging interface which finishes distributed cloud accessing by means of system configuration information, micro cloud agent, real-time resource monitoring and a micro cloud inter-operation module; 2), a local service interface which provides a cloud service that is ensured by QoS and improves user experience; and 3), an inter-cloud interconnection interface which realizes interconnection and resource sharing of a plurality of micro data centers and improves hardware utilization rate of distributed clouds; and a software-defined virtual network which realizes network intercommunication of the plurality of micro data centers. The method according to the invention is suitable for constructing a cluster of the micro cloud data centers which are geographically distributed and adding the new cluster of the micro cloud data centers.

Description

technical field [0001] The present invention relates to the field of cloud computing, and more specifically, to a hyper-converged micro-cloud data center automatic cloud fusion system. Background technique [0002] With the implementation of cloud computing technology, more and more institutions with multiple branches have built a central large-scale cloud data center to meet the growing application requirements. Traditional cloud computing, which relies on large-scale cloud data centers, has the advantages of high integration and unified power supply and cooling management, but it is often far away from urban centers with expensive land prices and faces many performance and management challenges. The data center is far away from the user, causing the user to suffer from a large delay in network transmission when using cloud services, which affects the user experience. A large number of video applications rely on the distribution of high-definition video streams, which impo...

AI Technical Summary

Problems solved by technology

Traditional cloud computing, which relies on large cloud data centers, has the advantages of high integration, unified power supply and cooling management, etc., but it is often far away from urban centers with expensive land costs, and faces many performance and management challenges.

The data center is far away from the user, causing the user to suffer from a large delay in network transmission when using cloud services, which affects the user experience

A large number of video applications rely on the distribution of high-definition video streams, causing a large bandwidth burden on large data centers

There are many machines in the big data center, the network is complex, and error troubleshooting is difficult, making it difficult to manage the big data center

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