基于Kubernetes的边缘云环境下C-V2X应用重定位失真的云在环仿真

L. Maller, Péter Suskovics, L. Bokor
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引用次数: 2

摘要

基于云的系统可能是实现一种新兴技术——蜂窝车联网(C-V2X)通信的解决方案。为了消除集中式基础设施元素的限制,边缘云架构可能是增强5G系统服务能力的关键,它将计算资源放置在网络边缘,靠近用户。评估和验证该领域的新系统是使用基于模型的仿真工具。因此,我们引入了循环中的云(CiL)模拟器概念。实现的框架对车辆的物理运动进行建模,并基于这些信息编排一个完整的分布式云系统,并执行各种测量场景。在这里,我们关注基于kubernetes的边缘云环境的扭曲,这是由用户(即车辆)移动性引发的应用程序重新定位机制造成的。
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Cloud-in-the-Loop simulation of C-V2X application relocation distortions in Kubernetes based Edge Cloud environment
Cloud-based systems could be a solution for enabling one of the emerging technologies, Cellular-Vehicle-to-Everything (C-V2X) communication. To eliminate the limitations of centralized infrastructure elements, the Edge Cloud architecture could be the key in enhancing 5G systems' service capabilities by placing computational resources to the edge of the network, close to the users. To evaluate and validate new systems in this domain is to use model-based simulation tools. Thus, we introduce the Cloud-in-the-Loop (CiL) simulator concept. The implemented framework models the physical movement of vehicles, and based on this information, it orchestrates a complete distributed cloud system and executes various measurement scenarios. Here we focus on the distortions of a Kubernetes-based Edge Cloud environment caused by the application relocation mechanisms initiated due to user (i.e., vehicles) mobility.
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