Design of cloud computing-based foreign language teaching management system based on parallel computing

被引：0

作者：

Maimaiti K. ^{[1
]}

机构：

[1] Department of Basic Courses, Xinjiang Institute of Engineering, Urumqi, Xinjiang

来源：

International Journal of Information and Communication Technology | 2020年 / 16卷 / 01期

关键词：

Cloud environment; Foreign language teaching; Management system; Parallel computing;

D O I：

10.1504/IJICT.2020.105102

中图分类号：

学科分类号：

摘要：

In view of the long response time of the traditional foreign language teaching management system and the inability to guide students to improve their learning interest, a foreign language teaching management system based on parallel computing is proposed. In this method, the cloud architecture of the foreign language teaching system is given under the cloud computing environment, on which the parallel computing method is adopted to design the foreign language teaching management system hardware, which is scalable and flexible. The parallel algorithm is designed and the communication between the modules of the system is implemented with C# language. The experimental results show that response time for each of the four scores of 'Zhang' is 1s in reference (Huang, 2017), the response time for each of them is only 0.6 s in this paper. The system can shorten the response time for query and improve the development speed of web-based foreign language teaching, effectively promotes the development of web-based foreign language teaching and students' interests in foreign language learning. © 2020 Inderscience Enterprises Ltd.

引用

页码：17 / 29

页数：12

共 18 条

[1]

Cao J., Zeng G.S., Dual fault-tolerant scheduling algorithm of periodic and aperiodic hybrid real-time tasks in cloud environment, Journal of Computer Applications, 35, 3, pp. 648-653, (2015)

[2]

Chu W.J., Design and implementation of school network teaching management system, Computer Programming Skills & Maintenance, 15, pp. 11-12, (2017)

[3]

Huang Z.Q., Research on foreign language mobile learning intelligence platform in cloud computing environment, Electronic Test, 18, pp. 35-39, (2017)

[4]

Kong Y.H., Zhao Y., Design and implementation of university teaching management system based on RFID-SIM technology, Laboratory Science, 19, 5, pp. 44-48, (2016)

[5]

Li C., Research on optimization and simulation of teaching resources equilibrium assignment in mobile network, Computer Simulation, 34, 2, pp. 238-241, (2017)

[6]

Li Y., The application of cloud computing in English teaching, Overseas English, 22, pp. 71-72, (2016)

[7]

Li Z.J., Wu X.J., Ren Z.P., Qu X.B., Research on genetic programming algorithm based on distributed coarse-grained parallel computing, Application Research of Computers, 32, 1, pp. 48-50, (2015)

[8]

Liu J.K., Application of cloud computing and speech recognition technology in college English teaching, Information & Communications, 7, (2015)

[9]

Liu Y., Cheng J.X., Lin J., Research on artificial firefly algorithm based on Gaussian variation in cloud virtual machine scheduling, Computer Applications and Software, 32, 3, pp. 834-837, (2015)

[10]

Pan Z.J., Zhao L.F., Design and implementation of university teaching management system based on WeChat public platform, Computer Knowledge and Technology, 12, 12, pp. 41-44, (2016)

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