With the increasing number and types of terminal access, real-time processing of increasingly complex Internet of things applications has become increasingly difficult. On the one hand, cloud computing environment in virtual reality, ultrahigh definition live video, intelligent manufacturing, and other application fields put forward complex, diverse, real-time, and other new business requirements. On the other hand, modern IOT terminals have shortcomings such as insufficient computing power and limited battery capacity, which make it difficult to provide real-time processing for Internet applications. The emergence of edge computing services provides effective solutions for these applications, which can improve the local data processing capacity, shorten the data transmission delay, and reduce the hardware cost to a certain extent. Since computing offload, resource allocation, cache content placement, and edge server deployment are the basis of localized data processing and resource allocation, their performance is closely related to the efficiency and accuracy of data processing in the whole system. In the application of the current system, online learning resources and cutting-edge software and hardware teaching environment continue to emerge, shaping a unique smart classroom. The system proposed in this paper not only has the traditional physical education knowledge but also the advanced visualization principle. The combination of them can promote the practice of the new concept of physical education. Through research on edge computing and resource allocation, this paper applies it to the development of cloud computing environment and sports teaching visualization system so that the cloud computing environment and sports teaching visualization system can flourish.

中文翻译：

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基于边缘计算和模糊聚类算法的体育教学系统设计

随着终端接入数量和类型的不断增加，对日益复杂的物联网应用的实时处理变得越来越困难。一方面，云计算环境在虚拟现实、超高清视频直播、智能制造等应用领域提出了复杂、多样、实时等新的业务需求。另一方面，现代物联网终端存在计算能力不足、电池容量有限等缺点，难以为互联网应用提供实时处理。边缘计算服务的出现为这些应用提供了有效的解决方案，可以提高本地数据处理能力，缩短数据传输时延，在一定程度上降低硬件成本。由于计算卸载、资源分配、缓存内容放置和边缘服务器部署是本地化数据处理和资源分配的基础，其性能与整个系统数据处理的效率和准确性密切相关。在当前系统的应用中，在线学习资源和前沿的软硬件教学环境不断涌现，塑造了独具特色的智慧课堂。本文提出的系统既有传统的体育知识，又有先进的可视化原理。它们的结合可以促进体育新理念的实践。通过对边缘计算和资源分配的研究，