| Autor: |
Yangyang Hao, Zhaoyi Qiu, Linggang Meng, Yuwei Du, Minghua Wu, Chuyun Wang |
| Rok vydání: |
2022 |
| ISSN: |
2011-2017 |
| DOI: |
10.21203/rs.3.rs-2253182/v1 |
| Popis: |
The Internet of Things(IoT) is one of the products of rapid development in the 5G era, and the cloud computing processing capabilities of edge computing are also very powerful. How to apply the IoT and edge computing to the forecast of sports industry trends is a problem. Therefore, this article studies the prediction of the development trend of sports industry from the perspective of the IoT and edge models. This paper proposes a multi-user QoE fairness bandwidth allocation modeling and model training service deployment algorithm to build a sports industry development prediction model based on the IoT and edge computing. And this paper designs an algorithm simulation experiment, and the experimental results show that its success rate is as high as 99%. So this article is based on the 2011-2017 Chinese sports industry trends to make predictions and comparisons, and the comparison results show that the similarity rate is as high as 90%. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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