Abstract
The task density of the data processing platform is increasing, and effective online task scheduling directly determines the business flexibility of the data processing platform. This article starts with the remarkable dynamic characteristics of 5G cellular networks, creates an adaptive environment to optimize online task scheduling, and designs the workload characteristics of data processing and computing tasks. On this basis, based on the 5G mobile communication network programming model and the operating and functional principles of its supporting system, the actual structure and field of online task scheduling work templates have been developed and designed. In addition, this article is developing a technology-based, non-intrusive online task scheduling program that can perform detailed real-time detection of the actual implementation of online task scheduling. In this paper, 5G cellular network is used to further reduce the service cache location of online content, and collaborative English learning and deployment at the edge of the network closer to the end user can further reduce network delay, which is important for improving mobile network communication and improving the efficiency of network content distribution. This article creates a model for online collaborative learning of college English on a 5G cellular network and analyzes the data based on experiments with comparative models to improve their self-confidence and interpersonal skills, and these skills can help improve students' language skills.
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This article is sponsored by a higher education reform program titled “Innovative research of mixed teaching mode of language and literature courses based on output-oriented method” (2019JSJG277).
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Guo, S. Online task scheduling and English online cooperative learning based on 5G mobile communication network. Soft Comput 27, 7605–7614 (2023). https://doi.org/10.1007/s00500-023-08137-5
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DOI: https://doi.org/10.1007/s00500-023-08137-5