[1]王乐,张小磊,张磊.面向数字孪生渲染的云边端协同技术[J].计算机技术与发展,2025,(07):190-195.[doi:10.20165/j.cnki.ISSN1673-629X.2025.0059]
　WANG Le,ZHANG Xiao-lei,ZHANG Lei.Cloud-edge-end Collaboration for Digital Twin Rendering[J].,2025,(07):190-195.[doi:10.20165/j.cnki.ISSN1673-629X.2025.0059]
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面向数字孪生渲染的云边端协同技术()

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2025年07期
页码:
190-195
栏目:
新型计算应用系统
出版日期:
2025-07-10

文章信息/Info

Title:
Cloud-edge-end Collaboration for Digital Twin Rendering
文章编号:
1673-629X(2025)07-0190-06
作者:
王乐1; 张小磊1; 张磊2
1. 咪咕新空文化科技(厦门)有限公司,福建 厦门 361021;
2. 首都师范大学 信息工程学院,北京 100048
Author(s):
WANG Le1; ZHANG Xiao-lei1; ZHANG Lei2
1. Migu Xinkong Cultural Technology (Xiamen) Co. ,Ltd. ,Xiamen 361021,China;
2. School of Information Engineering,Capital Normal University,Beijing 100048,China
关键词:
数字孪生; 渲染; 缓存; 云边端协同; 分布式计算
Keywords:
digital twin; rendering; caching; cloud-edge-end collaboration; distributed computing
分类号:
TP399
DOI:
10.20165/j.cnki.ISSN1673-629X.2025.0059
摘要:
数字孪生技术在城市、文旅、能源、工业和教育等多个领域应用广泛,高效完成其渲染任务成为核心挑战。 随着5G-A/ 6G 网络和智能设备的普及,云边端协同计算通过资源的高效缓存、快速传输和就近计算,显著缩短渲染任务的执行时间。 该文围绕着云边端协同技术在数字孪生渲染任务中的应用需求,探讨云边端协同网络架构下的分布式缓存和分布式计算的优化问题。 首先,分析了面向数字孪生渲染云边端协同的技术架构特点,并总结了云边端协同渲染的典型流程;其次,针对数字孪生渲染对高质量、低延时性能的需求,提出了一种集分布式缓存和分布式计算为一体的云边端协同的技术方案;最后,分别从任务分解、资源在边和端的缓存策略以及云边端分布式渲染的调度策略等角度讨论云边端协同优化技术。 最后给出一些开放性研究问题和未来的研究方向。
Abstract:
Digital twin technology holds significant promise across various fields,including urban development,cultural tourism,energy,industry,and education. Efficiently completing rendering tasks has emerged as a critical challenge. With the advancement of 5G-A/ 6G networks and the proliferation of high-performance intelligent devices,cloud-edge-end collaborative computing significantly shortens rendering task execution time through efficient resource caching, fast transmission, and localized computation. We focus on the application requirements of cloud - edge - end collaborative technology in digital twin rendering tasks and explore optimization issues related to distributed caching and distributed computing within the collaborative network architecture. First,the technical architecture characteristics of cloud-edge-end collaboration for digital twin rendering are analyzed,and the typical process of cloud-edge-end collab-orative rendering is summarized. Then, in response to the high - quality and low - latency requirements of digital twin rendering, a technical solution integrating distributed caching and distributed computing is proposed. Finally,optimization techniques for cloud-edge-end collaboration are discussed from the perspectives of task decomposition,caching strategies for resources at the edge and end,and scheduling strategies for distributed rendering. We conclude with open research questions and directions for future studies.

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更新日期/Last Update: 2025-07-10