Research on multi-task load dynamic planning of online education platform based on edge computing

Jingjing Jiang; Nan Li; Yao Li; Haibo Zhang

doi:10.1117/12.2656424

12 January 2023 Research on multi-task load dynamic planning of online education platform based on edge computing

Jingjing Jiang, Nan Li, Yao Li, Haibo Zhang

Proceedings Volume 12509, Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022); 125090H (2023) https://doi.org/10.1117/12.2656424
Event: Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022), 2022, Guangzhou, China

Abstract

The online education platform is a typical Internet scenario. As an online education platform, the platform faces many users, including students, teachers, and adult users. The system positioning determines that the platform needs to deal with high concurrency issues and consider the scalability of the system. When the number of users is too large, a single development framework cannot solve the problem well. Therefore, considering this type of typical Internet scenario system and taking system load dynamic planning as the research content, the MTBBO algorithm is proposed in the paper to deal with this problem. Through the comparison between MTBBO and single-task single-objective models GA, DE and BBO, the superiority of the algorithm in this paper is verified.

Citation Download Citation

Jingjing Jiang, Nan Li, Yao Li, and Haibo Zhang "Research on multi-task load dynamic planning of online education platform based on edge computing", Proc. SPIE 12509, Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022), 125090H (12 January 2023); https://doi.org/10.1117/12.2656424

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