Education service architecture system based on container cluster

Abstract

The invention discloses an education service architecture system based on a container cluster. The system comprises a physical resource layer, an operating system layer, a resource management layer and a teaching application layer which are connected in sequence from bottom to top, all the layers carry out cooperation and communication management through a distributed coordination manager Zookeeper; the teaching application layer provides a server interface to provide teaching service application for an external system. Kubernetes serve as a framework and are integrated into the resource management layer to obtain bottom-layer physical resources to manage teaching application services in the container cluster; wherein the container cluster is used for running a Docker application, and theexternal system calls the teaching application service in the architecture system through the teaching application layer. According to the education service architecture system based on the containercluster, rapid deployment can be realized, various service applications and public service platforms of schools can be stopped at a second level, and cluster deployment, load balancing, disaster recovery and elastic expansion and contraction of various services are supported.

Description

technical field [0001] The invention relates to the technical field of cloud computing storage, in particular to a container cluster-based education service architecture system. Background technique [0002] At present, 59% of the data in the era of big data is invalid data, 70% of the data is too complex, 85% of the enterprise data architecture cannot meet the needs of increasing data volume and complexity, and 98% of the enterprises cannot provide timely and accurate information for the business. Information. Today, big data challenges and opportunities coexist, and the construction of big data service platforms is undergoing an all-round integrated development process from simple to complex, from single to multiple, and from part to whole. At present, cloud data centers that support education services often have the following challenges: 1. It is difficult to start large-scale computing resources in a short period of time to meet the needs of a large number of distribute...

AI Technical Summary

Problems solved by technology

At present, cloud data centers that support education services often have the following challenges: 1. It is difficult to start large-scale computing resources in a short period of time to meet the needs of a large number of distributed teaching computing nodes; 2. Elastic computing is cost-effective, and each virtual machine needs to consume a lot of resources. Additional system resources, which are idle most of the time in batch-based offline analysis

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