With the continuous integration of cloud computing, edge computing, and Internet of things (IoT), various mobile applications will emerge in future 6G network. Driven by real-time response and low energy consumption requirements, mobile edge-cloud computing (MECC) will play an important role to improve user experience and reduce costs. However, due to the complexity of applications, the computing capacity of devices cannot meet the low-latency and low energy consumption requirement. Meanwhile, subject to the limited supplement of power and energy system, the heterogeneous multilayer mobile edge-cloud computing (HetMECC) is proposed to join cloud server, edge server, and terminal devices for data calculation and transmission. By dividing computing tasks, terminal applications can receive reliable and efficient computing services. The simulation results show that the proposed model can achieve the low-latency requirement of data calculation and transmission and improve the robustness of architecture.

中文翻译：

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考虑大规模定制模式协同制造环境的6G异构边缘云计算模型任务分担策略

随着云计算，边缘计算和物联网（IoT）的不断集成，各种移动应用将在未来的6G网络中出现。在实时响应和低能耗要求的推动下，移动边缘云计算（MECC）将在改善用户体验和降低成本方面发挥重要作用。但是，由于应用的复杂性，设备的计算能力无法满足低时延和低能耗的要求。同时，在电力和能源系统补充有限的情况下，提出了异构多层移动边缘云计算技术（HetMECC），将云服务器，边缘服务器和终端设备连接在一起，进行数据计算和传输。通过划分计算任务，终端应用程序可以接收可靠而有效的计算服务。