| 摘要: |
| 车载边缘计算（Vehicular Edge Computing,VEC将云服务器的计算资源汇聚至更靠近车辆用户的网络边缘，使得车辆将车载计算任务卸载至网络边缘服务器，从而为车辆提供低延迟、高带宽和高可靠性的服务。然而，VEC的高动态网络拓扑、严格的低延迟约束和车载计算任务的海量数据对实现高效任务卸载提出了重大挑战。数字孪生（Digital Twin,DT驱动的VEC模型能够实时监测VEC网络的状态，有助于在物理世界中做出合理的任务卸载决策。首先介绍了边缘计算、可用车辆以及DT驱动的VEC任务卸载方法的研究进展，然后详细阐述了DT驱动的VEC任务卸载的场景架构，最后探讨了未来DT驱动的VEC任务卸载方法的研究挑战和解决方案，为解决DT驱动的VEC任务卸载问题提供了一定参考。 |
| 关键词: 车载边缘计算（VEC 任务卸载 数字孪生 卸载决策 |
| DOI：10.20079/j.issn.1001-893x.240918006 |
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| 基金项目: |
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| A Review of Research on Digital Twin-driven Task Offloading for Vehicular Edge Computing |
| XUE Duan,HUO Xingying,QIN Peng |
| (School of Computer Science,Liupanshui Normal University,Liupanshui 553004,China) |
| Abstract: |
| Vehicular edge computing(VEC converges the computing resources of cloud servers to the edge of the network closer to the vehicle side,allowing vehicles to offload vehicular computing tasks to the network edge servers,thus providing vehicles with low latency,high bandwidth and high reliability services.However,the highly dynamic network topology,strict low-delay constraints,and massive data of vehicular tasks of VEC pose significant challenges for implementing efficient offloading.The digital twin(DT-driven VEC model can enable real-time monitoring of the state of the VEC network,thus assisting in making sound offloading decisions in the physical world.Firstly,the research progress of edge computing,available vehicles and DT-driven VEC task offloading methods are introduced.Then,the scenario architecture of DT-driven task offloading for VEC is elaborated.Finally,the future research challenges and solutions of DT-driven VEC task offloading methods are discussed,in hope of providing certain guidance for solving the problem of DT-driven VEC task offloading. |
| Key words: vehicular edge computing(VEC task offloading digital twin offloading decision |
