Online education cloud platform serving distributed experiment teaching environment

Abstract

The invention relates to an online education cloud platform serving a distributed experiment teaching environment. The online education cloud platform comprises an experiment management layer, a cloud service layer and an infrastructure layer; the experiment management layer provides an experiment management interface with courses as the center and is used for performing process management on experimenters, experiment templates, experiment hosts and experiment resources related to the experiment courses; the cloud service layer is used for classifying, scheduling and processing task requests of the experiment management layer; the infrastructure layer is constructed based on an open source cloud computing platform and a distributed storage system and provides a unified service interface for cloud computing and cloud storage; a block storage device RBD in a distributed file system Ceph is used as a storage rear end of a Glane component, a Nova component and a Cinder component in an OpenStack, and unified storage of a virtual machine mirror image, a disk file and a cloud hard disk is achieved. Compared with the prior art, the method has the advantages of high resource utilization efficiency, high expandability, low operation and maintenance management difficulty and the like.

Description

technical field [0001] The invention relates to the technical field of cloud computing, in particular to an online education cloud platform serving a distributed experimental teaching environment. Background technique [0002] With the rapid development of new-generation information technologies such as artificial intelligence, cloud computing, and big data, and the rapid promotion of related commercial applications, my country's demand for new-generation information technology talents is increasing. However, at present, computer laboratories in colleges and universities still revolve around the one-person-one-computer experiment management model centered on the physical computer room, and the computer practice of the new generation of information technology disciplines often requires a distributed cluster experiment environment. Taking big data-related courses as an example, in order to facilitate students to better understand the advantages of distributed data processing a...

AI Technical Summary

Problems solved by technology

Taking big data-related courses as an example, in order to facilitate students to better understand the advantages of distributed data processing and the mutual cooperation between each layer in the cluster, the experimental teaching environment of the Hadoop data processing and analysis platform requires at least one master node and Two slave nodes, the traditional one-person-one-machine model obviously cannot meet the above experimental scenarios

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