| Autor: |
Yubao Shen, Guidong Yu, Xudong Liu, Wenbin Zhang, Wenqi Zhang, Chuanxin Zhao |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
IEEE Access, Vol 12, Pp 155218-155233 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2169-3536 |
| DOI: |
10.1109/ACCESS.2024.3482729 |
| Popis: |
Online education has become a popular teaching method beyond classroom education. However, online teaching resources bring the software and hardware resources cost and security burden of cloud computing, which limits the willingness to share online resources. How to effectively motivate different schools to share teaching resources is a challenging issue. This paper proposes an excitation mechanism to promote high-quality online resource sharing. Firstly, under the resource constraints of the cloud platform, a utility oriented resource sharing model is established. Then, a game of choice between students and course resources is studied, which allows users to participate course strategy selection. Next, a particle swarm optimization algorithm was used to design an optimal cloud computing resource allocation scheme that maximizes revenue. It expects that high-quality course resources will be allocate more cloud computing resources. Finally, experiment simulation shows that appropriately excitation mechanisms can effectively promote the sharing of teaching resources, furthermore, the proposed resource allocation scheme is significantly better than the average allocation scheme. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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