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However, many teaching resources are in short supply due to a lack of standardized resource construction and the closeness of management methods. Physical education significant teaching resources in Chinese colleges and universities must be utilized. If not integrated, it would seriously restrict the development of physical education in China. However, the traditional management of physical education teaching resources tends to worsen the data management, which is easy to cause the loss of physical education teaching resources data. With the development of the Internet of Things (IoT), cloud computing, and other technologies, intelligent edge cloud computing can ensure the integrity of physical education teaching resources and improve utilization. In this paper, cloud computing is used to manage physical education teaching resources in colleges and universities, and virtualization technology is used to research physical education teaching resources. Moreover, a resource scheduling method is proposed to ensure equal load distribution across various edge resources. The proposed strategy also provides increased utilization levels for computing resources. The comparison between the sports teaching resources under cloud computing and traditional sports teaching resources found that cloud resource management's sharing degree of teaching equipment has increased by 20.6% compared with conventional resource management. The sharing degree of courses has increased by 16.5%, and the utilization rate of sports venues has increased by 27.1% compared with traditional resource management. The utilization rate of sports film and television materials increased by 30.7%. Teachers and students benefit significantly from college and university teaching resources in the context of cloud computing. It demonstrates how cloud computing may assist colleges and universities in managing and integrating their teaching resources more effectively. The management and integration of college sports resources through cloud computing can promote the mutual exchange of college resources and have practical significance for the development of college education.<\/jats:p>","DOI":"10.1186\/s13677-023-00455-1","type":"journal-article","created":{"date-parts":[[2023,5,25]],"date-time":"2023-05-25T13:02:31Z","timestamp":1685019751000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":33,"title":["Managing the integration of teaching resources for college physical education using intelligent edge-cloud computing"],"prefix":"10.1186","volume":"12","author":[{"given":"Chang","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Di","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,5,25]]},"reference":[{"key":"455_CR1","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1016\/j.neucom.2022.05.006","volume":"497","author":"P Chen","year":"2022","unstructured":"Chen P, Pei J, Lu W, Li M (2022) A deep reinforcement learning based method for real-time path planning and dynamic obstacle avoidance. 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