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An Empirical Study on Virtual English Teaching System Based on the Microservice Architecture with Wireless Internet Sensor Network

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  • Gaimin Jin
  • Lifang He
  • Sang-Bing Tsai

Abstract

We design in this paper a virtual English teaching system based on a wireless sensor network using the features of microservice architecture such as low coupling, lightweight, and high autonomy. This paper explains the characteristics of microservice architecture, uses the wireless sensor network as a carrier, uses the technology provided by Spring Cloud ecology to practice microservices, and makes a specific design and implementation of microservice architecture. The system allows teachers and students to upload and download English course resources, adopts the knowledge map to classify and manage course resources, realizes the diversified search and sorting function of course resources, greatly facilitates users to query and manage course resources, and improves the utilization rate. The internal functional modules of the platform are reasonably divided with the microservice design principle and are developed and deployed independently. For the security of the system, the authentication mechanism of the device and the authentication and authentication strategy of the application interface are designed, respectively. Finally, functional and nonfunctional tests were conducted on the system through the built test environment. The test results show that the virtual English teaching system designed and implemented in this paper has good feasibility and scalability. Through the research of this paper, it brings great help to the wireless sensor network virtual English teaching system and also improves the learning efficiency of students.

Suggested Citation

  • Gaimin Jin & Lifang He & Sang-Bing Tsai, 2021. "An Empirical Study on Virtual English Teaching System Based on the Microservice Architecture with Wireless Internet Sensor Network," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-10, September.
  • Handle: RePEc:hin:jnlmpe:8494410
    DOI: 10.1155/2021/8494410
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