Currently, the emergence of edge computing provides low-latency and high-efficiency computing for the Internet of Things (IoT). However, new architectures, protocols, and security technologies of edge computing need to be verified and evaluated before use. Since network emulation based on a cloud platform has advantages in scalability and fidelity, it can provide an effective network environment for verifying and evaluating new edge computing technologies. Therefore, we propose a high-performance emulation technology supporting the routing protocol based on a cloud platform. First, we take OpenStack as a basic network environment. To improve the performance and scalability of routing emulation, we then design the routing emulation architecture according to the software-defined network (SDN) and design the cluster scheduling mechanism. Finally, the design of the Open Shortest Path First (OSPF) protocol can support communication with physical routers. Through extensive experiments, we demonstrate that this technology not only can provide a realistic OSPF protocol but also has obvious advantages in the overhead and performance of routing nodes compared with those of other network emulation technologies. Furthermore, the realization of the controller cluster improves the scalability in the emulation scale.

中文翻译：

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基于云平台的高性能路由仿真技术

当前，边缘计算的出现为物联网（IoT）提供了低延迟和高效率的计算。但是，边缘计算的新体系结构，协议和安全技术需要在使用前进行验证和评估。由于基于云平台的网络仿真在可伸缩性和保真度方面具有优势，因此可以为验证和评估新的边缘计算技术提供有效的网络环境。因此，我们提出了一种基于云平台支持路由协议的高性能仿真技术。首先，我们将OpenStack作为基本的网络环境。为了提高路由仿真的性能和可扩展性，我们根据软件定义网络（SDN）设计了路由仿真架构，并设计了集群调度机制。最后，开放最短路径优先（OSPF）协议的设计可以支持与物理路由器的通信。通过广泛的实验，我们证明了该技术不仅可以提供逼真的OSPF协议，而且与其他网络仿真技术相比，在路由节点的开销和性能方面也具有明显的优势。此外，控制器集群的实现提高了仿真规模的可伸缩性。