Education cloud platform is an online education platform built on cloud computing to provide students with a more efficient and convenient teaching and learning environment. However, due to the increasing scale of the platform and the increasing number of users, it is particularly important to effectively manage and optimize the users and resources in the network. On this basis, a teaching cloud platform based on the Louvain algorithm is proposed, which can effectively solve the above problems. The Louvain algorithm is a community discovery method based on graph theory, which maximizes the connectivity within the community and minimizes the connectivity between communities. On this basis, the Louvain algorithm is used to divide student clubs, in order to better meet the personalized learning needs of students. Dividing users into different levels can provide students with richer teaching and learning resources more accurately, improving their learning efficiency and quality. In addition, the teaching cloud platform constructed using the Louvain algorithm has achieved optimal allocation of teaching resources. By properly allocating resources within the platform, the efficiency of resource utilization can be effectively improved, thereby enhancing the operational efficiency of the system. A optimization scheduling method based on user group characteristics and resource requirements was proposed, achieving optimal resource allocation. In addition, the satisfaction level of users is highest at 85% to 89%, indicating a high overall satisfaction. Therefore, this article proposes a teaching cloud platform design and implementation scheme based on the Louvain algorithm, which is of great significance for improving the performance of teaching systems, optimizing resource allocation, and enhancing user experience. By discovering clubs and optimizing resource allocation, the education cloud platform can better meet the personalized needs of users, providing students with a more convenient and efficient teaching and learning environment.

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Design of Cloud Computing Technology Online Education Platform Based on Louvain Algorithm

  • Xiuling Li

摘要

Education cloud platform is an online education platform built on cloud computing to provide students with a more efficient and convenient teaching and learning environment. However, due to the increasing scale of the platform and the increasing number of users, it is particularly important to effectively manage and optimize the users and resources in the network. On this basis, a teaching cloud platform based on the Louvain algorithm is proposed, which can effectively solve the above problems. The Louvain algorithm is a community discovery method based on graph theory, which maximizes the connectivity within the community and minimizes the connectivity between communities. On this basis, the Louvain algorithm is used to divide student clubs, in order to better meet the personalized learning needs of students. Dividing users into different levels can provide students with richer teaching and learning resources more accurately, improving their learning efficiency and quality. In addition, the teaching cloud platform constructed using the Louvain algorithm has achieved optimal allocation of teaching resources. By properly allocating resources within the platform, the efficiency of resource utilization can be effectively improved, thereby enhancing the operational efficiency of the system. A optimization scheduling method based on user group characteristics and resource requirements was proposed, achieving optimal resource allocation. In addition, the satisfaction level of users is highest at 85% to 89%, indicating a high overall satisfaction. Therefore, this article proposes a teaching cloud platform design and implementation scheme based on the Louvain algorithm, which is of great significance for improving the performance of teaching systems, optimizing resource allocation, and enhancing user experience. By discovering clubs and optimizing resource allocation, the education cloud platform can better meet the personalized needs of users, providing students with a more convenient and efficient teaching and learning environment.