Cloud computing-based intelligent cloud management system for college experiment facilities

Abstract

The invention discloses a cloud computing-based intelligent cloud management system for college experiment facilities. A college laboratory as a computer education platform plays a vital role in the aspect of promoting college informatization development. By adopting advanced virtualization, storage and network technologies, a unified view of a resource pool is provided on the basis of integrating existing IT infrastructures. Finally through peculiar functions of personalized customization of IT teaching, elastic management of an experiment machine and the like, a series of problems of huge computer quantity, large user quantity, high equipment fault frequency, few managers and the like in the college laboratory are solved; and while education informatization and modernization development is promoted, comprehensive cost is greatly reduced, thereby facilitating construction of an economical college.

Description

technical field [0001] The invention relates to the field of cloud computing, in particular to an intelligent cloud management system for experimental facilities in colleges and universities based on cloud computing. Background technique [0002] In the teaching of colleges and universities, every student needs to learn computer-related knowledge. And computer is a subject with strong practicality, and the experimental teaching link is even more crucial to learn these courses well. The computer practice of computer courses is an indispensable process in modern computer-related teaching activities. Only through enough computer experiments can students truly understand and master the theoretical knowledge of the subject and acquire certain experimental capabilities. And initially have the ability to deal with practical problems. However, the computer rooms in general colleges and universities are insufficient. Not only are the equipment in the computer room relatively poor, ...

AI Technical Summary

Problems solved by technology

[0005] 1) The cloud computing and big data majors in major universities are in their infancy, and the talent training curriculum system is not systematic;

[0006] 2) Cloud computing and big data teaching and research resources are scarce, and professional teachers who can configure and guide the experimental environment are insufficient;

[0007] 2. The basic experimental environment is weak, and it is difficult to carry out cloud computing and big data training

[0008] 1) For distributed systems of cloud computing and big data, colleges and universities cannot provide each student with a multi-machine experimental environment;

[0009] 2) It is difficult to install and configure cloud computing and big data distributed software systems, and the experimental environment is easily damaged;

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