The Use of Artificial Intelligence Combined with Cloud Computing in the Design of Education Information Management Platform
DOI:
https://doi.org/10.3991/ijet.v16i05.20309Keywords:
artificial intelligence, cloud computing, education information management, data storageAbstract
Based on cloud computing theory and service-oriented architecture (SOA) design pattern, a smart education management platform is designed by using cloud computing and artificial intelligence technology. The platform is deployed in the server cluster environment, with Hadpoop managed storage cluster as the data storage center. For the education management, education portal and remote classroom, the corresponding services are launched, which has the advantages of intelligent and efficient, massive data access and intelligent collaborative management. The test results show that the platform can be used normally in the ports of computer, mobile phone and tablet computer, and can successfully complete the basic operations such as user registration and login, educational administration, and content storage. The results of database stress test show that the total time consumption of sequential read, sequential write, random read and random write is 752s, 312s, 968s and 211s, respectively when millions of simulated data are inserted into the database, which indicates that the database can support large-scale data access. The stress test results of content storage service show that when the number of clients is adjusted to 500, 1000 and 3000, the output quantity of each read-write interface can be maintained at about 3500 pages/min in 60s, indicating that the system can still run stably under the condition of high concurrency. The management platform discussed has practical significance to promote the development of intelligent and information-based education management.
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Published
2021-03-16
How to Cite
Li, Q. (2021). The Use of Artificial Intelligence Combined with Cloud Computing in the Design of Education Information Management Platform. International Journal of Emerging Technologies in Learning (iJET), 16(05), pp. 32–44. https://doi.org/10.3991/ijet.v16i05.20309
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